This team is at the forefront of driving collaborative efforts across the enterprise to meet these vital commitments, safeguarding our global business, protecting our people and the planet, and fostering a deep culture of safety and responsibility. Their critical role allows Ford to build unparalleled customer trust, innovate responsibly, expand into new markets with confidence, and reinforce our leadership in shaping a sustainable and safe future for mobility. Strong Environmental & Safety Compliance is essential to upholding Ford brand integrity and securing long-term competitive advantage.

At the intersection of cutting-edge AI-enabled software engineering and global automotive standards, you will lead the evolution of Ford’s Vehicle Homologation and Compliance ecosystem. As Product Lead, you will architect and develop the digital products of this domain that serves as a strategic competitive advantage.

Responsibilities

• Define, design, and develop Agentic AI services that reason, act, and iterate to automate complex regulatory workflows and ensure 100% compliance adherence

• Conceptualize and design a scalable, functional model for a Digital Compliance Platform tailored to meet evolving regulatory and business requirements

• Own and define technical specifications for functionality, data, integration, and performance by collaborating with Product and Architecture teams

• Build AI enabled Software Engineering for higher quality, productivity, and throughput

• Deliver to product commitments and manage backlog through Agile ceremonies (PI Planning, Sprint Planning etc.)

• Define and drive strategy by architecting the long-term vision, strategic roadmap, and product lifecycle for the portfolio including strategic investment planning

• Establish data products, standards, and architecture that serve as foundation for AI, automation, advanced analytics, and broader digital transformation

• Design and optimize database models and data architectures to ensure highly efficient storage and retrieval of enterprise information

• Lead a global team of 20 skilled and motivated software engineers. Build talent and mentor team members to ensure long-term sustainability

• Collaborate with stakeholders to ensure metrics/KPIs are consolidated and reported per corporate standards

• Communicate progress, identify roadblocks, and manage dependencies through data-driven metrics, milestones, and future-state roadmaps

• Prepare and deliver executive updates and presentations for operational updates, organizational accomplishments to objectives, strategy and roadmap etc

Qualifications

• 10+ years of progressive experience in Information Technology, with at least 5 years of dedicated expertise in Product Management and Agile software development

• Tech Stack: Google Cloud Platform, Java, J2EE, Python, Postgres, BigQuery, Cloud Run, SonarQube, Jira, GitHub

• Demonstrated hands-on expertise in service-oriented architecture, development of APIs, Microservices on GCP with Tekton CI/CD deployment pipe

• Demonstrated ability of DevSecOps mindset with full ownership of development, security, and operational support aspects of a product

• Demonstrated expertise in understanding Monitoring activities and toolset (Dynatrace, Splunk, Datadog etc.) to provide best operational support

• Proven track record of leading high-performing teams within a Product Driven Organization (PDO) framework

• Bachelor’s degree in computer science, Engineering, or a related technical field

• Strong oral and written communication skills

• Self-starter – able to identify what needs to be done and then get it done

• Hands-on problem solver to anticipate and proactively resolve hurdles

• Experience in coordinating, organizing and hosting key meetings and events

• Inclusive leadership style with the ability to lead through influence and build meaningful relationships at all levels and functions of the organization

• Be able to work cross-functionally, in a matrixed environment and have experience in a large multi-national company

• Most importantly, the successful candidate will exhibit the Ford+ behaviors and work diligently and ethically each day to help achieve success of the Ford+ plan

Preferred

• Knowledge of Environmental & Safety Compliance domain

• Knowledge of AI, specifically Agentic AI services development and support

• Knowledge of product design principles and development

• Knowledge of platform engineering, data best practices

• Experience in leveraging Industry Best Practices, Research, Communities of practice

• Experience with Ford Industrial Systems domains (Product Development, Supply Chain, Manufacturing)

• Knowledge of manufacturing and engineering processes i.e., GPDS, FPS

• Understanding of emerging digital technologies

• Experience driving IT integration across domains

• Experience modernizing legacy IT infrastructure and applications

• Role model of Ford+ leadership behaviors

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The ideal candidate will have strong hands-on experience in Java/J2EE/Spring framework/Spring boot and experience with microservices architectures, cloud-native architectures, event-driven architectures, APIs, Domain-Driven Design, public cloud, serverless, Kubernetes, Docker, DevOps, and performance testing.

You will also be responsible for bringing commerce platform engineering expertise and experience to significantly improve Ford's current capabilities and ensure these platforms can grow to meet increasing demands.

In this role, you will design, build POCs on latest cutting-edge technologies and contribute to constructing, deploying highly scalable and robust cloud-based intelligent solutions.

You will also contribute to Ford's Product Driven Organisation (PDO) model by identifying improvements and areas that help to reduce dependencies and increase autonomy for teams to deliver.

As a Lead Engineer, you will develop new capabilities and maintain a global product that supports both Ford's vehicle and non-vehicle eCommerce business, set to expand across multiple business lines.

Responsibilities:

• Overall design and evolution of one or more modules in eCommerce products
• Research existing application footprint and recommend solutions for futuristic architecture landscape
• Bring commerce platform engineering expertise and experience to improve Ford's current capabilities
• Design, build POCs on latest cutting-edge technologies
• Contribute to constructing, deploying highly scalable and robust cloud-based intelligent solutions
• Contribute to Ford's PDO model by identifying improvements and areas to reduce dependencies and increase autonomy for teams to deliver

Qualifications:

• Minimum 12+ years of experience
• BE in Computer Science or an equivalent course
• Work from office on minimum 4 days a week

Job Info:

• Job Identification: 61405
• Job Category: Enterprise Technology
• Posting Date: 04/24/2026, 09:57 AM
• Apply Before: 04/28/2026, 02:30 AM
• Job Schedule: Full time
• Locations: 15 Plot No 13, Chennai, TN, 600119, IN (On-site)
• Remote: No

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Join a new engineering team in San Francisco building Flexport’s client-facing rates platform and self-serve freight booking experience from the ground up. You will work alongside experienced engineers and have direct ownership of features that move the company from an assisted-sales model to a tech-run one for the long tail of our client base.

Responsibilities

• Design, develop, test, deploy, and maintain systems within a microservices architecture that power rate visibility and autonomous booking.
• Own the entire lifecycle of a feature: from database schema design and scalable backend APIs to building the React-based frontend applications our customers use.
• Support the integration of AI models and automated workflows to make the pricing and booking experience increasingly intelligent.
• Collaborate with engineering, product, and design to translate complex business problems into elegant, production-ready technical solutions.
• Contribute to code reviews to maintain high quality standards, share knowledge, and mentor peer engineers.
• Build highly available, secure, and distributed systems that can scale with Flexport’s global volume.
• Rapidly build and launch products incrementally, leveraging best practices around CI/CD and shipping to production dozens of times per day.
• Ensure high-quality standards by incorporating metrics, monitoring, and applying learnings from post-mortems to all services.

Requirements

• Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
• 3+ years of professional software engineering experience with a proven track record of shipping production-grade applications.
• Full-Stack Capability: You are comfortable owning a feature from end-to-end: working with databases, backend services (Java/Ruby), and frontend frameworks (React).
• Technical Rigor: A passion for simple, well-tested code that is easy to extend and hard to break.
• AI Familiarity: Experience or interest in working with AI APIs and building software that leverages machine learning models to automate user tasks.
• 2+ years of design and architecture knowledge as well as familiarity with object-oriented analysis and design patterns.
• Proficiency with modern programming languages: specifically Java, Ruby, or TypeScript.
• Proficiency with deploying, monitoring, and maintaining production services on cloud infrastructure (AWS).

Nice to Have

• Experience with elements of our tech stack: Java, Spring Boot, Ruby on Rails, React, AWS.
• Experience in fintech, pricing engines, or booking systems.
• Experience in logistics, supply chain, or freight technology.
• A bias for action: When you see a problem, you fix it.
• Excellent written and verbal communication skills: you can convey technical ideas in common terms to business stakeholders and product managers.

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As a key technical expert, you will design and implement scalable UI components, micro frontends, and API-driven solutions that integrate seamlessly with Guidewire PolicyCenter, BillingCenter, and ClaimCenter. You will work closely with business, design, and technology teams to deliver omnichannel, headless, and microservices-based digital experiences. Responsibilities include customizing Jutro UI components, optimizing front-end performance, ensuring API-first architecture, and enabling Agile/DevOps-driven deployments.

The ideal candidate has 3+ years of experience in Guidewire Jutro and Digital, strong front-end development skills in React, Angular, JavaScript, TypeScript, and GraphQL, and expertise in cloud platforms (AWS, Azure, GCP).

Preferred candidates hold Guidewire Digital Certifications, have experience with CI/CD pipelines, Kubernetes, and DevOps methodologies, and understand P&C insurance digital customer journeys.

This role offers an exciting opportunity to work on cutting-edge digital insurance engagements, modernizing customer experiences and self-service portals for global insurers. Join Capgemini's industry-leading team to shape the future of insurance technology through innovation, InsurTech collaboration, and cloud-native digital solutions.

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This role focuses on leveraging Guidewire Jutro, a next-generation digital experience framework, to create modern, responsive, and cloud-native applications for policyholders, agents, and insurers.

As a key technical expert, you will design and implement scalable UI components, micro frontends, and API-driven solutions that integrate seamlessly with Guidewire PolicyCenter, BillingCenter, and ClaimCenter.

You will work closely with business, design, and technology teams to deliver omnichannel, headless, and microservices-based digital experiences.

Responsibilities include customizing Jutro UI components, optimizing front-end performance, ensuring API-first architecture, and enabling Agile/DevOps-driven deployments.

The ideal candidate has 3+ years of experience in Guidewire Jutro and Digital, strong front-end development skills in React, Angular, JavaScript, TypeScript, and GraphQL, and expertise in cloud platforms (AWS, Azure, GCP).

Preferred candidates hold Guidewire Digital Certifications, have experience with CI/CD pipelines, Kubernetes, and DevOps methodologies, and understand P&C insurance digital customer journeys.

This role offers an exciting opportunity to work on cutting-edge digital insurance engagements, modernizing customer experiences and self-service portals for global insurers.

Join Capgemini's industry-leading team to shape the future of insurance technology through innovation, InsurTech collaboration, and cloud-native digital solutions.

Key Responsibilities:

• Lead the design, development, and customization of digital applications using Guidewire Jutro.
• Create modern, responsive UI/UX components for seamless policyholder and agent interactions.
• Ensure API-first architecture and integration with Guidewire Cloud, Guidewire Digital, and third-party InsurTech solutions.
• Implement headless and microservices-based digital experiences, enabling insurers to deliver innovative customer journeys.

Technical Architecture & Development:

• Architect and build reusable UI components, widgets, and micro frontends in Jutro.
• Collaborate with backend developers to integrate Guidewire PolicyCenter, BillingCenter, and ClaimCenter APIs.
• Utilize React, JavaScript, TypeScript, and GraphQL to enhance digital insurance platforms.
• Optimize application performance, security, and accessibility across multiple devices and browsers.

Consulting & Client Engagement:

• Partner with business and design teams to understand customer needs and translate them into intuitive digital solutions.
• Advise clients on best practices for Jutro adoption, cloud enablement, and omnichannel customer experiences.
• Deliver technical demonstrations, proof of concepts, and roadmaps for insurers looking to modernize their digital platforms.

Agile & DevOps Enablement:

• Work within Agile/Scrum teams to deliver iterative and scalable digital solutions.
• Utilize CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native architectures for deployment.
• Ensure test-driven development (TDD) and automated testing for seamless application performance.

Requirements:

• Technical Expertise:
• 3+ years of experience with Guidewire Jutro and Guidewire Digital solutions.
• Strong proficiency in React, JavaScript, TypeScript, GraphQL, and front-end frameworks.
• Experience integrating Guidewire's PolicyCenter, BillingCenter, and ClaimCenter through APIs.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture.
• Understanding of headless CMS, API gateways, and customer identity & access management (CIAM).

• Consulting & Insurance Industry Knowledge:
• Experience working with top-tier insurers on digital transformation projects.
• Strong understanding of P&C insurance products, underwriting, claims, and digital customer journeys.
• Ability to translate business requirements into scalable digital experiences.

• Preferred Certifications & Tools:
• Guidewire Certified Specialist – Jutro/Digital (Preferred).
• Cloud Certifications (AWS/Azure/GCP) are a plus.
• Experience with CI/CD pipelines, Docker, Kubernetes, and DevOps best practices.

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This role focuses on leveraging Guidewire Jutro, a next-generation digital experience framework, to create modern, responsive, and cloud-native applications for policyholders, agents, and insurers.

As a key technical expert, you will design and implement scalable UI components, micro frontends, and API-driven solutions that integrate seamlessly with Guidewire PolicyCenter, BillingCenter, and ClaimCenter.

You will work closely with business, design, and technology teams to deliver omnichannel, headless, and microservices-based digital experiences.

Responsibilities include customizing Jutro UI components, optimizing front-end performance, ensuring API-first architecture, and enabling Agile/DevOps-driven deployments.

The ideal candidate has 3+ years of experience in Guidewire Jutro and Digital, strong front-end development skills in React, Angular, JavaScript, TypeScript, and GraphQL, and expertise in cloud platforms (AWS, Azure, GCP).

Preferred candidates hold Guidewire Digital Certifications, have experience with CI/CD pipelines, Kubernetes, and DevOps methodologies, and understand P&C insurance digital customer journeys.

This role offers an exciting opportunity to work on cutting-edge digital insurance engagements, modernizing customer experiences and self-service portals for global insurers.

Join Capgemini's industry-leading team to shape the future of insurance technology through innovation, InsurTech collaboration, and cloud-native digital solutions.

Key Responsibilities:

• Lead the design, development, and customization of digital applications using Guidewire Jutro.
• Create modern, responsive UI/UX components for seamless policyholder and agent interactions.
• Ensure API-first architecture and integration with Guidewire Cloud, Guidewire Digital, and third-party InsurTech solutions.
• Implement headless and microservices-based digital experiences, enabling insurers to deliver innovative customer journeys.

Technical Architecture & Development:

• Architect and build reusable UI components, widgets, and micro frontends in Jutro.
• Collaborate with backend developers to integrate Guidewire PolicyCenter, BillingCenter, and ClaimCenter APIs.
• Utilize React, JavaScript, TypeScript, and GraphQL to enhance digital insurance platforms.
• Optimize application performance, security, and accessibility across multiple devices and browsers.

Consulting & Client Engagement:

• Partner with business and design teams to understand customer needs and translate them into intuitive digital solutions.
• Advise clients on best practices for Jutro adoption, cloud enablement, and omnichannel customer experiences.
• Deliver technical demonstrations, proof of concepts, and roadmaps for insurers looking to modernize their digital platforms.

Agile & DevOps Enablement:

• Work within Agile/Scrum teams to deliver iterative and scalable digital solutions.
• Utilize CI/CD pipelines, containerization (Docker, Kubernetes), and cloud-native architectures for deployment.
• Ensure test-driven development (TDD) and automated testing for seamless application performance.

Requirements:

• Technical Expertise:

• 3+ years of experience with Guidewire Jutro and Guidewire Digital solutions.
• Strong proficiency in React, JavaScript, TypeScript, GraphQL, and front-end frameworks.
• Experience integrating Guidewire's PolicyCenter, BillingCenter, and ClaimCenter through APIs.
• Familiarity with cloud platforms (AWS, Azure, Google Cloud) and microservices architecture.
• Understanding of headless CMS, API gateways, and customer identity & access management (CIAM).

• Consulting & Insurance Industry Knowledge:

• Experience working with top-tier insurers on digital transformation projects.
• Strong understanding of P&C insurance products, underwriting, claims, and digital customer journeys.
• Ability to translate business requirements into scalable digital experiences.

• Preferred Certifications & Tools:

• Guidewire Certified Specialist – Jutro/Digital (Preferred).
• Cloud Certifications (AWS/Azure/GCP) are a plus.
• Experience with CI/CD pipelines, Docker, Kubernetes, and DevOps best practices.

Benefits:

This position comes with competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses
2. Comprehensive benefits package
3. Career development and training opportunities
4. Flexible work arrangements (remote and/or office-based)
5. Dynamic and inclusive work culture within a globally renowned group
6. Private Health Insurance
7. Retirement Plans
8. Paid Time Off
9. Training & Development

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Responsibilities:

• Design, develop, and execute automated tests for software applications using various testing frameworks and tools
• Collaborate with cross-functional teams to identify and prioritize testing needs, develop test plans, and execute tests
• Develop and maintain test automation frameworks and scripts to ensure efficient and effective testing
• Identify and report defects, and work with development teams to resolve issues
• Participate in Agile development methodologies, including daily stand-ups, sprint planning, and retrospectives
• Stay up-to-date with emerging trends and technologies in software testing and development

Requirements:

• Bachelor's degree in Computer Science, Information Technology, or related field
• 3+ years of experience in software testing and development, with a focus on automated testing
• Strong knowledge of testing frameworks and tools, such as Selenium, Appium, and JUnit
• Experience with Agile development methodologies and version control systems, such as Git
• Strong problem-solving and analytical skills, with attention to detail and ability to troubleshoot complex issues
• Excellent communication and collaboration skills, with ability to work effectively with cross-functional teams

Preferred Skills:

• Experience with cloud-based testing platforms, such as AWS or Azure
• Knowledge of DevOps practices and tools, such as Jenkins or Docker
• Familiarity with scripting languages, such as Python or Java
• Experience with test data management and test environment setup
• Certification in software testing or development, such as ISTQB or Scrum Master

Experience Level: Mid Employment Type: Full-time Workplace Type: Hybrid Category: Engineering Industry: Technology Salary Range: Competitive salary and performance-based bonuses Salary Min: 80000 Salary Max: 120000 Salary Currency: USD Salary Period: year Required Skills: Test Automation, Automation Framework, CICD pipeline, PlayWright, Python, AI, Cloud, docker, Microservices Preferred Skills: Cloud-based testing platforms, DevOps practices and tools, Scripting languages, Test data management, Test environment setup

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The role requires expertise in Enterprise Java, Angular, Microservices, and Auto Insurance, as well as experience with monitoring tools such as Splunk/Dynatrace. Cloud Infra and Guidewire experience are also a plus.

Key responsibilities include:

• Designing, developing, testing, and deploying system functionality
• Providing technical feasibility using a range of coding methods
• Adhering to coding standards to ensure consistent style and format
• Ensuring systems are high in code and component quality
• Collaborating with senior developers or architects to support future requirements

The successful candidate will have excellent problem-solving skills, be able to work effectively in a team environment, and have a strong understanding of software development principles and practices.

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We currently have 700 open roles

Innovation Starts Here

Job Summary

We are seeking a highly skilled Principal AI Engineer to lead the architecture and hands-on development of enterprise agentic AI platforms across core business domains. As a key member of our cross-functional engineering team, you will build and deploy AI copilots and multi-agent workflows for business teams, embed AI directly into enterprise workflows, and ensure seamless integration with ERP and CRM systems.

Key Responsibilities

• Lead the architecture and hands-on development of enterprise agentic AI platforms across core business domains
• Build and deploy AI copilots and multi-agent workflows for business teams (Legal, Finance, Sales, HR, Operations) using Microsoft AI Copilot, SAP BTP, Salesforce, and other platforms
• Embed AI directly into enterprise workflows, ensuring seamless integration with ERP and CRM systems
• Design, implement, and govern secure AI solutions utilizing MCP (Model Context Protocol) and A2A (Agent-to-Agent) orchestration standards
• Develop scalable APIs and microservices in Python and C#, supporting robust, production-ready AI deployments
• Ensure production readiness through best practices in CI/CD, observability, reliability, and continuous evaluation
• Mentor engineers, lead architectural discussions, and collaborate with cross-functional business and technical stakeholders

The Impact You Will Have

• Drive the adoption of agentic AI across Synopsys' core business systems, setting standards for enterprise AI integration and governance
• Deliver high-visibility, high-impact AI solutions that transform business processes and decision-making for teams company-wide
• Shape the architecture and best practices for scalable, secure, and reliable AI across hybrid and multi-vendor environments
• Empower business teams to leverage AI copilots and intelligent workflows for increased productivity and innovation
• Mentor and upskill engineering teams, fostering a culture of excellence, collaboration, and forward-thinking AI adoption
• Ensure AI solutions meet enterprise standards for security, compliance, reliability, and operational excellence

What You’ll Need

• 10–15 years of software engineering experience, with a focus on enterprise systems
• Expert-level proficiency in both Python and C#
• Hands-on experience building and operating production AI/GenAI systems integrated with ERP and CRM platforms
• Deep understanding of agentic AI, RAG, multi-step workflows, and enterprise-grade AI architecture
• Proven experience with Microsoft AI Copilot, Copilot Studio, Microsoft AI Foundry, SAP BTP, and Salesforce AI (including Einstein and agentic capabilities)
• Expertise in microservices, API development, CI/CD pipelines, and cloud deployments
• Experience with SQL, NoSQL, and vector databases
• Preferred: Familiarity with LangChain, LangGraph, LlamaIndex, MCP, A2A, and prior support for business functions such as Legal, Finance, Sales, or HR

Who You Are

• Enterprise-minded engineer with a strong platform and architecture focus
• Hands-on leader who enjoys mentoring and collaborating across business and technical teams
• Pragmatic, delivery-oriented, and able to translate business needs into robust AI solutions
• Adaptable and comfortable working in fast-changing, multi-vendor, and hybrid environments
• Excellent communicator, able to articulate complex technical concepts to diverse audiences
• Committed to continuous learning and keeping pace with the latest in AI and enterprise technology

The Team You’ll Be A Part Of

You will join a cross-functional, forward-thinking engineering team responsible for embedding trustworthy, scalable AI into Synopsys’ most critical business systems. Our team partners closely with business stakeholders and platform owners to deliver agentic AI workflows that create measurable business value. We are passionate about innovation, operational excellence, and setting the standard for enterprise AI adoption.

Rewards and Benefits

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.

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We are currently seeking an experienced professional to join our team in the role of Associate Director, Data and Analytics.

Principal responsibilities:

• Own the end-to-end technical design and delivery of Decision Hub capabilities (eligibility, arbitration, offering services, monitoring, APIs, etc.).
• Champion and lead the adoption of AI-assisted development practices (e.g., GitHub Copilot, generative AI for code/test generation) to accelerate delivery, improve code quality, and foster a culture of innovation.
• Spearhead the integration of Generative AI, adaptive models, and other emerging AI technologies into the platform's core capabilities, moving beyond traditional ML models to create a truly intelligent system.
• Collaborate with Product, Solution Architecture, Data, and Security to ensure compliance with regulatory controls, data lineage, and auditability.
• Drive performance, scalability, and resilience design; validate via capacity/performance testing and production dry runs.
• Translate business requirements into extensible, maintainable technical solutions and reference designs for multi-market reuse.
• Lead technical design and code reviews, setting the standard for high-quality, efficient, and maintainable code.
• Hands-on implementation and troubleshooting; unblock teams during critical incidents and deployment windows.
• Coach and grow engineering capability; set engineering practices, quality metrics, and a high-performance culture.

Requirements:

• 8+ years in software engineering with 3+ years in technical lead or architect roles on distributed, real-time systems.
• Proven experience designing and delivering decisioning, orchestration, or real-time personalization platforms (or equivalent large-scale event/streaming systems).
• Strong cloud design and development experience (GCP preferred; AWS/Azure acceptable) and familiarity with multi-cloud/on-prem tradeoffs.
• Hands-on experience with the end-to-end machine learning lifecycle (MLOps), from model integration and deployment to performance monitoring and feedback loops.
• A strong passion for and practical experience with leveraging AI development tools (e.g., GitHub Copilot, CodeWhisperer) and embedding them into team workflows.
• Deep knowledge of performance engineering, capacity planning, fault tolerance, and observability (APM, metrics, tracing, alerting).
• Hands-on with modern engineering practices: microservices, APIs, CI/CD, infra as code, automated testing, security controls.
• Excellent stakeholder skills: ability to translate complex technical concepts for business partners and influence product and delivery decisions.
• Strong mentoring and team leadership track record.

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Performs broad and detailed impact assessments relating people, processes and/or technology, and estimates user stories using relative sizing of story points. Supports implementation activities, troubleshooting user/system environmental issues, and training as required.

Effectively supports business in building a Lean Business Case and breaking epics into features. Identifies and raises issues and risks with functional design. Partners with the Product Owner to confirm code and acceptance tests reflect the desired functionality.

Executes Test-Driven Development (TDD) and Behavior-Driven Development (BDD) to build in quality. Agile Dev Team Member III with primarily a development discipline: Codes instructions for computer programs/objects/components; configures packaged software.

Provides input into the solution design and functionality of business applications. Reviews and validates application technical design of team members. Documents and implements programs according to standards and conventions.

Analyzes and makes recommendations on the need for system backup, security, restart/recovery, balancing & controls and recommends approaches for meeting such needs. Analyzes and documents the requirements and approaches to data conversion and data modeling.

Quality checks program code, related objects and documentation. Delivers working code each sprint. Demonstrates ability to read and write simple code. Modifies code in an existing file.

Executes basic data creation tools and reads automation test results. Demonstrates understanding of the fundamentals of automation tools and framework.

Agile Dev Team Member III with primarily a testing discipline: Analyzes system and business requirements for testability. Identifies complex errors that occur in standard application testing.

Develops, documents, executes, and maintains test cases and test data. Reports status of test plan execution through defect logs and defect tracking system.

Defines comprehensive test plans needed to achieve appropriate level of coverage. Analyzes test results and assists with trouble-shooting and root cause analysis.

Utilizes standard testing tools such as data creation, run batch processes and test automation tools. Provides guidance to others as needed.

Applies Risk Based Testing techniques to planning and execution. Writes test cases describing business behavior to facilitate automation.

Mentors junior team members in test planning and execution techniques. Contributes to the overall test strategy with limited ability.

Assists with resolution of environmental issues. Supports application development, implementation, and user training activities, as required.

Participates in key ceremonies to drive execution, improve flow and ensure transparency. May provide limited guidance to junior team members, when needed.

Plans work via the preparation for and participation in Program Increment (PI) Planning and Sprint Planning, which includes developing and committing to Team PI Objectives and Sprint goals.

Demonstrates working code to Product and Business Owners and supports the Product Owner in the execution of the iteration and PI System Demos.

Actively participates in the Sprint Retrospectives and Inspect & Adapt to timely discuss opportunities for improvement and are responsible for carrying out the execution of improvement stories.

Participates in Daily Stands-ups to assess progress toward sprint goals and raise impediments.

Participates in on-going and scheduled Backlog Refinement sessions.

Demonstrates ongoing desire for continuous improvement and building knowledge in area of expertise.

Actively seeks out development opportunities to further develop T-shaped skills and become a more cross-functional contributor.

Practices continuous exploration, continuous integration and continuous deployment necessary for building the Continuous Delivery Pipeline and implementing DevOps.

Offers innovative ideas within area of focus to improve processes.

Conducts ongoing assessment of current state and seeks out opportunities for improvement.

Conducts research, design, prototyping and other exploration activities which fosters innovation and builds alignment between the customer need and what is delivered.

Implements innovative ideas within area of focus.

Actively participates in Agile Dev Team Member Community of Practice (CoP) and elicits contributions from group members.

Plans and conducts CoP sessions.

Effectively manages the communications and action items resulting from the sessions.

Performs other functions as assigned.

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The role also involves ensuring the end product meets the business acceptance criteria and non-functional requirements. Defines and executes tests early, often, and at multiple levels depending on their level of experience. Based on their business products, processes and system knowledge, they provide broad level of thinking for exceptions and other unexpected ways users may interact with systems. Utilizes intermediate testing techniques and tools.

Required skills include Enterprise Java, Angular, Microservices, Auto Insurance, Monitoring (Splunk/Dynatrace), SQL, AS400, Cloud Infra, and Guidewire experience is a plus.

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As a Gen AI Staff Engineer, you will architect and develop GenAI, RAG, and agentic AI applications for enterprise functions. You will design and deploy AI-powered copilots and multi-step agent workflows using frameworks like LangChain, LangGraph, and LlamaIndex.

Key responsibilities include:

• Building ETL pipelines for document ingestion, parsing, and enrichment, enabling enterprise-scale knowledge integration
• Integrating and experimenting with LLMs and GenAI platforms (OpenAI, ChatGPT, Claude, Amazon Bedrock, LLaMA) for optimal solution fit
• Implementing MCP-based context sharing and A2A integrations to enable seamless interoperability across enterprise applications
• Developing and maintaining robust APIs and microservices for secure and scalable integration
• Implementing CI/CD pipelines and productionization practices for reliable deployments

This role requires a strong understanding of CI/CD pipelines, cloud platforms, and production deployment. You should have experience with microservices, and modern architectural patterns. Familiarity with SQL, NoSQL, and vector databases is also required.

In return, you will have the opportunity to transform business processes across HR, Finance, Legal, and beyond, and enjoy collaborating with cross-functional teams to deliver solutions that matter.

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We are currently seeking an experienced professional to join our team in the role of Consultant Specialist. In this role, you will:

• Design and manage technical design, drive the transformation and innovation
• Lead and guide POD to deliver business outcome with future state architecture
• Review the deliverables and ensure the quality of the product
• Follow quality process and quality improvement initiatives

The candidate will be part of strategic initiative IT team which is responsible for design, develop, maintain and support the solution with a focus on performance improvement with the full automation of DevOps processes and procedures.

• Guide Pod leads to deliver business outcome with future state architecture
• Troubleshoot defects and come up with sustainable solutions
• Work with end to end teams from requirements analysis to production rollout
• Interact with a large global team to come up with strategic solutions
• Build sustainable software with quality, reusability, scalability and supportability

To be successful, you will require strong hands-on React, Core Java, JAVA8, Springboot, Microservices and JUNIT. Primary skillset is React AND Java

• Candidate with strong hands-on tools Jenkins, Git Hub, Splunk, Maven, SonarQube, Checkmarks and AppDynamics
• Candidate with strong hands-on HTML5, CSS, Typescripts
• Good analytical and problem-solving skills
• Skills in trouble shooting Applications deployed on any of the industry standard Front end – React
• Experience in working in DevOps and Agile model
• Contribute towards building strong technical team
• A pragmatic approach to delivering modular and extensible code
• Experience in leading the module/project end to end (Estimation, Planning, Deliveries)
• Good knowledge on JIRA and Confluence
• Exposure of Banking domain
• Knowledge on Cloud / AWS / GCP
• Sound verbal and written communication to interact with global teams
• Good Interpersonal skills and Stakeholder management

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As part of the company's continued expansion into cloud services in APAC, we are hiring a Cloud Data Engineer to join our Taipei team.

This person will work closely with our clients in Taiwan and the region, collaborating with both our local and global engineering teams.

Responsibilities

• Design and implement data architectures and pipelines for cloud and digital analytics projects on cloud platforms
• Deliver hands-on technical services including cloud migration, data transformation, data warehousing, visualization, and advanced analytics
• Set up CI/CD pipelines and deployment workflows to ensure proper integration of cloud infrastructure and data pipelines
• Streamline and automate processes to optimize performance and cost-efficiency for digital analytics platforms
• Support pre-sales activities with local consultants (e.g. demo development, RFP contribution, technical solutioning)
• Collaborate with Global Engineering team to develop and deliver POCs for cloud and data-related use cases

Requirements

• University degree in Computer Science, Information Systems, or related disciplines
• Minimum 1 year of experience with cloud data platforms (GCP preferred; AWS or Azure also welcome)
• Familiar with data engineering concepts and tools (e.g. BigQuery, Dataflow, Pub/Sub, Airflow, etc.)
• Proficient in one or more programming languages (e.g. Python, Java)
• Knowledge of API design, microservices, and DevOps practices (CI/CD, version control, containerization)
• Good understanding of data analytics, data warehousing, and visualization (e.g. Looker, Data Studio, Tableau)
• Experience with website or mobile app tracking implementation is a plus
• Professional cloud certification (GCP, AWS, or Azure) is a plus
• Able to communicate technical concepts clearly to non-technical stakeholders
• Strong problem-solving skills, self-driven, and collaborative
• Fluent in English and Mandarin Chinese

Benefits

• Exposure to cloud automation, marketing platforms, and media data analytics projects
• Opportunity to work with our global consulting and engineering teams to engage our clients from diverse industries around the world
• 20 days Annual Leave
• Work remotely (Maximum 2 days a week Work From Home policy)
• Regular team activities including TGIF, team lunch and Off-site!
• A multicultural environment with employees from over 20 countries
• Values centered on excellence, caring and sharing
• Continuous (and certified) training on the digital ecosystem and technologies (initial training for all new employees, followed by ongoing training sessions, etc.)
• Particular importance given to work-life balance and the right to disconnect
• Work-life balance and strong support for well-being

XML job scraping automation by YubHub

You'll work closely with designers, engineers, testers, and product owners to deliver reliable and scalable features. You will play a crucial role in providing technical leadership, overseeing project execution, mentoring team members to ensure best practices are followed. This role reports to the Technical Director.

Responsibilities

• Technical operations
• Design, develop, and maintain complex backend systems ensuring scalability, performance, and reliability
• Provide technical guidance, expertise, and code reviews to team members, ensuring software quality and adherence to best practices
• Identify technical risks and implement mitigation strategies to monitor and safeguard server technical KPIs to ensure minimal downtime and stable live operations
• Ensure code quality, maintainability, and documentation by setting and enforcing coding standards
• Work with modern backend stacks including Java, Kubernetes, microservices, and cloud platforms (AWS, GCP, Azure)
• Project management
• Work together with project managers to provide estimations and manage priorities and resources to ensure on-time delivery
• Understand delivery needs from product owners to ensure smooth communication between different job functions
• Communicate efficiently with stakeholders about technical design/issues.
• People management
• Lead and inspire a team of software engineers, fostering a collaborative and high performing work environment
• Mentor and train team members, promoting skill development and career growth

XML job scraping automation by YubHub

The EA Experiences group (XO) is dedicated to ensuring great experiences for our growing communities centered around our world-renowned brands, including fan-favorites like Apex, Battlefield, EA SPORTS FC, Madden NFL and The Sims.

As an AI Enablement Architect and Team Lead for the XO AI Labs team in the EA Experiences organization, you will be an innovator and creator of cutting-edge AI solutions, solutions that keep our fans at the center of everything we do. You will collaborate closely with teams across EA Experiences, developing an understanding of their business, their challenges, and their opportunities. You will rapidly create innovative AI solutions using cutting-edge AI technologies that drive growth, increase efficiency, and help our teams focus on what matters most, our fans.

This is a hands-on leadership role focused on building and deploying production AI solutions for EA Experiences organization. You will report to the Senior Director, AI Enablement. This is a hybrid role based at our office in Galway, Ireland.

Responsibilities:

• Inspire and lead AI-driven transformation by creating and deploying innovative solutions that drive efficiency, expansion, and transformation to scale impact, and reimagine our employee and fan experiences.

• Be an AI evangelist, promoting the use of AI as a force-multiplier, driver of growth, and method for improving our fans experiences

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation

• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency

• Be a hands-on leader, collaborating with teams across EA Experiences to understand their business, their challenges, their opportunities, and create innovative solutions.

• Innovate, transform, and imagine what can be with the novel application of AI into business and related solutions. Drive organizational transformation and change management.

• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level

Qualifications:

• 8 years + experience architecting, developing, rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices

• Python development skills are required. C#, JavaScript, HTML, and CSS are beneficial

• Extensive experience with spec driven development and using agentic AI software engineering solutions such as Kiro, Cursor, and Claude Code

• Extensive experience engineering AI solutions and excellent working knowledge of:

• Prompt and context engineering

• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)

• AI assistants, RAG, embeddings, and vector databases

• Model tuning, evaluation, benchmarking, and guardrails

• Content creation (advertising and marketing), data analytics, and business transformation experience is highly beneficial

• A comprehensive understanding of AWS's services, architecture, and design principles, including:

• Enterprise architecture and microservices design

• Observability and telemetry

• Infrastructure as code and CI/CD

• Experience navigating the legal, ethical, and security implications for AI

• Thrive working both collaboratively and independently

• Excellent creative, critical thinking, and problem solving skills

• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial

About Electronic Arts:

We’re proud to have an extensive portfolio of games and experiences, locations around the world, and opportunities across EA. We value adaptability, resilience, creativity, and curiosity. From leadership that brings out your potential, to creating space for learning and experimenting, we empower you to do great work and pursue opportunities for growth.

We adopt a holistic approach to our benefits programs, emphasizing physical, emotional, financial, career, and community wellness to support a balanced life. Our packages are tailored to meet local needs and may include healthcare coverage, mental well-being support, retirement savings, paid time off, family leaves, complimentary games, and more. We nurture environments where our teams can always bring their best to what they do.

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As a Sr. AI Engineer, you will help scale our internal AI-powered insights tool by partnering with analysts, product teams, marketing, and titles like EA SPORTS FC™, Apex Legends™, The Sims™, and Madden NFL. You will work directly with game teams/partners (internal clients) to understand their offerings/domain and create AI products and solutions to solve for their use cases. You will develop plans to generalize AI products across titles and review AI tools used within the team, providing guidance and being accountable for the success and the adoption of the project/product.

You will implement feature enhancements for our AI-powered analytics tool using GCP services, LLMs, and our internal tech stack. You will engage with other Data Scientists, Data Analysts sharing best practices and help consult on cross-projects. You will design, improve and work with our data pipeline that transfers and processes petabytes of data using tools, such as: AWS, S3, Kubernetes, GCP, Python, Apache Kafka, Ruby & Hive.

We are looking for a hands-on engineer with practical experience building AI/ML-driven systems, evaluating emerging tools, and delivering impactful, reusable solutions across multiple domains. You will have a graduate degree in Computer Science, Engineering, AI/ML, or a related quantitative field and 4+ years of experience building AI, ML, or data-driven systems in production environments.

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In this role, you will oversee a global engineering organization responsible for building and operating large-scale, cloud-based platforms. You will work cross-functionally with Product, Marketing Technology, Studios, and central teams to drive alignment, manage complex dependencies, and deliver meaningful business impact.

Your responsibilities will include defining and driving long-term technical strategy, seeking continuous improvement, and increasing platform leverage, studio adoption, and business impact across the company. You will also work with cross-functional teams to streamline the live services workflow and evaluate where EA's live service solutions, studio tech stacks, and vendor solutions can work together.

The ideal candidate will have 15+ years in software engineering with 7+ years in senior leadership roles, delivering large-scale, distributed systems. They will have proven ability to define and lead complex system architectures, including microservices, event-driven systems, and cloud-native platforms.

Key qualifications include:

• Bachelor's degree in Computer Science, Software Engineering, or a related field
• Proven track record leading teams to build and scale consumer-facing data products and services
• Strong record of driving engineering rigor and operational excellence across modern software development and platform operations
• Demonstrated ability to manage complex dependencies, define long-term technical roadmaps, and deliver against multi-year strategies
• Strong collaboration and influence skills, with experience leading cross-functional initiatives and influencing senior stakeholders

As a Senior Director, LCM CoreTech Engineering, you will be part of a dynamic team that is shaping the future of gaming and entertainment. You will have the opportunity to work on cutting-edge technologies, collaborate with talented engineers and developers, and make a significant impact on the company's success.

In terms of compensation, the salary range for this role is $227,300 - $344,700 USD per year, depending on location. In addition to a competitive salary, Electronic Arts offers a comprehensive benefits package, including paid time off, medical/dental/vision insurance, life insurance, disability insurance, and 401(k) matching.

If you are a motivated and experienced leader with a passion for innovation and collaboration, we encourage you to apply for this exciting opportunity.

XML job scraping automation by YubHub

In this role within the IT department, you will be developing and maintaining a range of applications and solutions, mainly used by our race team and vehicle performance engineers with the opportunity partly working from home.

As a team player who thrives on responsibility, with strong analytical and logical skills, you will be inspired by the passion and teamwork of our workforce.

Responsibilities:

• Pre-evaluation and conception of software projects
• Support strategic software infrastructure and architecture decisions for ongoing and future projects
• Be part of an experienced application development team using modern technology, methods and standards
• Function as an interface between the engineering department and software development
• Take a role in both frontend and backend development
• Be involved in the whole development lifecycle: Requirement collection, planning, development, automated testing, documentation, deployment and operations
• Adaptations of existing systems to meet new requirements
• Solving highly complex problems and develop elegant solutions with high coding standards to build robust, secure, and flexible environments

What we offer:

• Exciting projects and a place for technical freedom and innovation to get things moving
• Attractive benefits packages e.g. competitive remuneration, social benefits, 30 days annual holiday, car leasing, free on-site gym

Requirements:

• Master / Bachelor degree or equivalent in computer science or software engineering
• Bringing some relevant experience in technical software engineering working in a team using agile methods such as SCRUM
• Deep knowledge of programming languages, development frameworks, and infrastructure. Mainly .Net Core, C# and WPF/XAML
• Experience with MVVM pattern in WPF
• Knowledge in Windows application development
• Be able to write and speak professional English, additional German language skills are an advantage
• Have experience with one or more of the following would be an advantage: Python, C++, angular/react/html/CSS, Databases (Oracle, MS SQL Server, InfluxDB), CI/CD, Cloud Services (AWS), Microservices (Docker, Kubernetes), Kafka, VB.NET and WinForms

XML job scraping automation by YubHub

The future of entertainment is interactive, and you can help lead that future by growing and enriching how hundreds of millions of people find joy and belonging, forge friendships, and celebrate their lived experiences through the work we do every single day, together.

As the hands-on AI architect and engineer, you will design, create, and deploy AI-powered solutions that transform content creation, data and analytics, and transform our business processes and systems. You'll architect and ship innovative AI native solutions that leverage agents, multi-agent workflows, guardrails, knowledge bases, knowledge graphs, LLM's, vision models, diffusion models, and related technologies.

Responsibilities:

• Architect end-to-end AI solutions: Design and implement AI-native solutions and multi-agent workflows that transform content creation, data and analytics, and core business processes, from idea through production deployment.

• Drive AI-enabled content creation: Build and evolve AI pipelines, assistants, and tools that help creative, marketing, and franchise teams ideate, generate, localize, and optimize content (image, video, copy, interactive experiences) at scale while staying on-brand and fan-first.

• Lead data, knowledge, and RAG architectures: Define and implement data lakes, vector stores, knowledge bases, and knowledge graphs to power intelligent assistants and solutions

• Productionize and integrate AI systems: Own the path from prototype to production,integrating AI solutions with existing platforms, services, and workflows, and defining observability, reliability, and performance baselines.

• Embed guardrails, safety, and governance: Implement guardrails, policies, and evaluation frameworks that address IP, privacy, security, safety, and bias; define acceptance criteria, red/amber/green thresholds, and incident handling for AI-powered systems.

• Standardize architectures, patterns, and tooling: Create and maintain reusable reference architectures, design patterns, SDKs, and templates for agents, multi-agent workflows, RAG, and LLM/vision/diffusion integrations to accelerate adoption across teams.

• Partner and co-create with cross-functional teams: Collaborate with creative, product, marketing, data, engineering, operations, and legal partners to identify high-value AI opportunities, shape requirements, and ensure solutions are usable, scalable, and aligned to business goals.

• Lead experimentation and continuous improvement: Run “prove, pilot, production” cycles, define success metrics, analyze performance and fan impact, and continuously refine models, prompts, workflows, and UX based on data and stakeholder feedback. Develop and lead AI first engineering processes to accelerate product, engineering, and delivery

• Evangelize and upskill the organization: Provide thought leadership on AI, share best practices, host demos and workshops, and coach teams on how to leverage agents, LLMs, vision/diffusion models, and AI workflows as force-multipliers in their day-to-day work.

Your Qualifications:

• 8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices.

• Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial.

• Hands-on experience using agentic AI software engineering solutions (e.g., Kiro, Cursor, or similar) to accelerate development and experimentation.

• 3+ years implementing AI solutions driving measurable business impact.

• Excellent working knowledge of: prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases, evaluation, benchmarking, and guardrails.

• Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines

• Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial

• Enterprise architecture and microservices design; observability and telemetry; infrastructure as code and CI/CD pipelines

• Experience navigating the legal, ethical, and security implications for AI, including data privacy, IP, safety, and responsible use of Generative AI.

• 4+ years experience leading cross-functional teams and collaborate effectively with global teams

• Experience approaching a problem from different angles, analyzing pros and cons of different solutions, and analytical problem-solving skills, with the ability to reframe problems, explore multiple options, and land pragmatic, high-impact solutions.

• Excellent ability to clearly communicate complex concepts simply and clearly. Weave an engaging narrative that clearly communicates complex concepts and demonstrates business impact.

• Customer- and player-centric mindset, with a passion for building solutions that empower teams and delight fans.

• Enjoy and prioritize continual learning – staying up to date with the newest AI technologies, models, tools, and solution patterns, and understanding how they can benefit EA Experiences.

• Thrive working both collaboratively and independently in a fast-paced, dynamic environment; comfortable operating in a startup-like setting within a large organization.

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As a Director & Architect, AI Innovations, you will report to and collaborate closely with the Head of AI Enablement for EA Experiences and collaborate closely with a global team across Europe, North America, and Southeast Asia.

Responsibilities:

• Deeply understand the future of Generative AI technologies, with a strong grasp of traditional AI and ML
• Rapidly prototype and creative innovative solutions that drive significant increases in player engagement, expansion of EA's core business, and efficiency opportunities
• Design and implement GenAI-native solutions and multi-agent workflows that transform content creation, data and analytics, and core business processes, from idea through production deployment.
• Drive AI-enabled content creation: Build and evolve AI pipelines, assistants, and tools that help creative, marketing, and franchise teams ideate, generate, localize, and optimize content (image, video, copy, interactive experiences) at scale while staying on-brand and fan-first.
• Productionize and integrate AI systems: Own the path from prototype to production,integrating AI solutions with existing platforms, services, and workflows, and defining observability, reliability, and performance baselines.
• Drive adoption of new GenAI based architectures, patterns, and tooling: Create and maintain reusable reference architectures, design patterns, SDKs, and templates for agents, multi-agent workflows, RAG, and LLM/vision/diffusion integrations to accelerate adoption across teams.
• Partner and co-create with cross-functional teams: Collaborate with creative, product, marketing, data, engineering, operations, and legal partners to identify high-value AI opportunities, shape requirements, and ensure solutions are usable, scalable, and aligned to business goals.
• Lead experimentation and continuous improvement: Run “prove, pilot, production” cycles, define success metrics, analyze performance and fan impact, and continuously refine models, prompts, workflows, and UX based on data and stakeholder feedback. Develop and lead AI first engineering processes to accelerate product, engineering, and delivery
• Evangelize and upskill the organisation: Provide thought leadership on AI, share best practices, host demos and workshops, and coach teams on how to leverage agents, LLMs, vision/diffusion models, and AI workflows as force-multipliers in their day-to-day work.

Qualifications:

• 8+ years of experience architecting, prototyping, and deploying robust production solutions that incorporate software engineering, infrastructure, architectural, and security best practices.
• Strong Python development skills; experience with C#, JavaScript, HTML, and CSS is beneficial.
• Hands-on experience using agentic AI software engineering solutions (e.g., Kiro, Cursor, or similar) to accelerate development and experimentation.
• 3+ years implementing AI solutions driving measurable business impact.
• Excellent working knowledge of: prompt and context engineering; AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP); AI assistants, RAG, embeddings, and vector databases, evaluation, benchmarking, and guardrails.
• Experience tuning language and diffusion models, labeling and tagging data, and architecting data pipelines
• Deep understanding of architecture and design principles, and cloud services, specifically AWS, Azure and GCP are beneficial
• Enterprise architecture and microservices design; observability and telemetry; infrastructure as code and CI/CD pipelines

XML job scraping automation by YubHub

Are you enthusiastic to mine raw data and realize its hidden value by building amazing, connected data solutions that benefit our customers? Would you love to accelerate our efforts in implementing advanced physics and ML Models in production?

The Data Engineer role resides within the Ford’s Electric Vehicle organization. In this role, you will work on building scalable and robust data pipelines to process large volumes of connected vehicle data to support the Ford vehicle prognostic initiatives.

Responsibilities

• Develop exceptional analytical data products using both streaming and batch ingestion patterns on Google Cloud Platform with solid data warehouse principles.
• Build data pipelines to monitoring quality of data and performance of analytical models.
• Maintain the infrastructure of the data platform using terraform and continuously develop, evaluate, and deliver code using CI/CD.
• Collaborate with data analytics stakeholders to streamline the data acquisition, processing, and presentation process.
• Implement an enterprise data governance model and actively promote the concept of data - protection, sharing, reuse, quality, and standards.
• Enhance and maintain the DevOps capabilities of the data platform.
• Continuously optimize and enhance existing data solutions (pipelines, products, infrastructure) for best performance, high security, low vulnerability, low costs, and high reliability.
• Work in an agile product team to deliver code frequently using Test Driven Development (TDD), continuous integration and continuous deployment (CI/CD).
• Promptly address code quality issues using SonarQube, Checkmarx, Fossa, and Cycode throughout the development lifecycle.
• Perform any necessary data mapping, data lineage activities and document information flows.
• Monitor the production pipelines and provide production support by addressing production issues as per SLAs.
• Provide analysis of connected vehicle data to support new product developments and production vehicle improvements.
• Provide visibility to data quality/vehicle/feature issues and work with the business owners to fix the issues.
• Demonstrate technical knowledge and communication skills with the ability to advocate for well-designed solutions.
• Continuously enhance your domain knowledge of connected vehicle data, connected services and algorithms/models developed by data scientists within Ford.
• Stay current on the latest data engineering practices and contribute to the technical direction of the company while keeping a customer-centric approach.

Qualifications

• Master’s degree or foreign equivalent degree in Computer Science, Software Engineering, Information Systems, Data Engineering, or a related field, and 4 years of experience OR equivalent combination of education and experience (6+ years with Bachelor's Degree).
• 4 years of professional experience in:
• Data engineering, data product development and software product launches
• At least three of the following languages: Java, Python, Spark, Scala, SQL
• 3 years of cloud data/software engineering experience building scalable, reliable, and cost-effective production batch and streaming data pipelines using:
• Data warehouses like Amazon Redshift, Microsoft Azure Synapse Analytics, Google BigQuery.
• Workflow orchestration tools like Airflow.
• Relational Database Management System like MySQL, PostgreSQL, and SQL Server.
• Real-Time data streaming platform like Apache Kafka, GCP Pub/Sub
• Microservices architecture to deliver large-scale real-time data processing application.
• REST APIs for compute, storage, operations, and security.
• DevOps tools such as Tekton, GitHub Actions, Git, GitHub, Terraform, Docker.
• Project management tools like Atlassian JIRA.

Even better if you have...

• Ph.D. or foreign equivalent degree in Computer Science, Software Engineering, Information System, Data Engineering, or a related field.
• 2 years of experience with ML Model Development and/or MLOps.
• Committed code to improve open-source data/software engineering projects
• Experience architecting cloud infrastructure and handling application migrations/upgrades.
• GCP Professional Certifications.
• Demonstrated passion to mine raw data and realize its hidden value.
• Passion to experiment/implement state of the art data engineering methods/techniques.
• Experience working in an implementation team from concept to operations, providing deep technical subject matter expertise for successful deployment.
• Experience implementing methods for automation of all parts of the pipeline to minimize labor in development and production.
• Analytics skills to profile data, troubleshoot data pipeline/product issues.
• Ability to simplify, clearly communicate complex data/software ideas/problems and work with cross-functional teams and all levels of management independently.

Experience Level: mid

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$255K – $405K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

We’re hiring software engineers to join our broader Infrastructure organization, which supports multiple high-impact teams. Depending on your interests and experience, you could work on one of several focus areas,including Core Distributed Systems, Databases, Observability, or Cloud Infrastructure. All teams operate with a high degree of autonomy and are deeply collaborative, with a shared mandate to raise the bar on safety, reliability, and velocity across OpenAI.

About the Role

You’ll be at the heart of scaling and hardening the infrastructure that powers some of the most widely used AI systems in the world. You’ll help ensure our systems are highly reliable, observable, performant, and secure,so researchers can iterate quickly, and products like ChatGPT and the OpenAI API can serve millions of users safely and effectively.

This is a hands-on, high-leverage role for engineers who thrive on ownership, love solving deep technical problems across the stack, and want to work on systems that support cutting-edge research and deploy at global scale. You’ll play a key part in shaping technical direction, proactively improving system resilience, and collaborating closely with infra, product, and research teams to turn complex infrastructure into reliable platforms.

In this role you will:

• Design, build, and operate reliable and performant systems used across engineering.

• Identify and fix performance bottlenecks and inefficiencies, ensuring our infrastructure can scale to the next order of magnitude.

• Dig deep to resolve complex issues.

• Continuously improve automation to reduce manual work. Improve internal tooling and our developer experience.

• Contribute to incident response, postmortems, and the development of best practices around system reliability and scalability.

You might thrive in this role if you:

• Have a deep understanding of distributed systems principles and a proven track record in building and operating scalable and reliable systems.

• Have a keen eye for performance and optimization. You know how to squeeze the most performance out of complex, globally-distributed systems.

• Have experience operating orchestration systems such as Kubernetes at scale and building abstractions over cloud platforms

• Are comfortable working in Linux environments, and with tools like Kubernetes, Terraform, CI/CD pipelines, and modern observability stacks.

• Are experienced in collaborating with cross-functional teams to ensure that reliability and scalability are considered in the design and development of new features and services.

• Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.

• Own problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done.

• Are comfortable with ambiguity and rapid change.

Qualifications:

• 4+ years of relevant industry experience, with 2+ years leading large scale, complex projects or teams as an engineer or tech lead

• A passion for distributed systems at scale with a focus on reliability, scalability, security, and continuous improvement.

• Proven experience as an reliability engineer, production engineer, or a similar role in a fast-paced, rapidly scaling company.

• Strong proficiency in cloud infrastructure (like AWS, GCP, Azure) and IaC tools such as Terraform. Proficiency in programming / scripting languages.

• Experience with containerization technologies and container orchestration platforms like Kubernetes.

• Experience with observability tools such as Datadog, Prometheus, Grafana, Splunk and ELK stack.

• Experience with microservices architecture and service mesh technologies.

• Knowledge of security best practices in cloud environments.

• Strong understanding of distributed systems, networking, and database technologies.

• Excellent problem-solving skills and ability to work in a fast-paced environment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to

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Responsibilities

Organizational Leadership & Strategy

• Build the Team: Directly manage and mentor a group of Engineering Managers and Staff Engineers. You are responsible for the organizational design, hiring strategy, and career progression of a 50+ person engineering team.
• Culture of Excellence: Instil a culture of technical craftsmanship. Shift the mindset from 'project thinking' to 'product/customer thinking', ensuring teams take long-term ownership of their code, quality, and technical debt.
• Resource Management: Manage the engineering budget and headcount distribution, with a value-driven mindset, ensuring talent is deployed against the highest impact business priorities.

Technical Direction

• Modernize the Core: Drive the architectural strategy for decoupling and modernizing our digital products. You will oversee the transition from legacy systems to event-driven, cloud-native applications deployed on Google Cloud Platform (GCP).
• Reliability & Scale: Ensure our platforms remain robust, secure, performant, and capable of 24/7 availability in a highly regulated environment.
• Engineering Craftsmanship: Own and enforce the software engineering standards (the 'building codes') for your domain. This includes code quality, testing practices, branching strategy, code review processes, and CI/CD configuration. You are accountable for the how of building high-quality, maintainable software.
• AI: Adopt and drive agentic AI to accelerate the SDLC and improve quality

Stakeholder & Business Partnership

• Bridge the Gap: Act as a technical partner to the Business Operations, Risk, and Finance leadership. You will translate complex technical constraints into business options and vice versa.
• Global Alignment: Collaborate with your counterparts in the US to ensure our European platforms integrate seamlessly with Ford's global ecosystem, while maintaining local market relevance.

Qualifications

Leadership Experience

• Engineering Leadership: 10+ years in software engineering, with at least 5+ years in a senior leadership role (e.g., Head of Engineering, Director, or Senior Manager) managing other managers.
• Scale: Experience leading organizations of significant size (30+ engineers), including navigating the complexities of hiring, performance management, and organizational restructuring.
• Domain Expertise: Demonstrable experience building both 'power user' systems like our dealer-facing UIs, as well as easy-access UIs for end-customers.

Technical Fluency

• Cloud Native: While you may not code every day, you have a deep architectural understanding of modern cloud platforms (GCP preferred), microservices, and event-driven architectures, and can hold your own in a design review with a Staff Engineer, able to challenge effectively on design choices.
• React Frontends: 5+ years of experience building React applications.
• Java Backends: A background in the Java & Spring ecosystem, using GraphQL, REST, and Kafka for integration.
• Culture of curiosity: You will work with your teams to continuously improve skills, knowledge, and best practices.

Mindset

• Talent Magnet: You have a history of attracting top engineering talent and building diverse, high-performing teams.
• Technical Leadership: You provide inspirational tech direction to engineers, knowing what good looks like.
• Communication: You can relate complicated technical problems in a clear and jargon-free way, demystifying the tech for the executive team.

Bonus Points For:

• Experience with finance platforms (e.g., off-the-shelf banking software or custom-built ledgers).
• Google Cloud Professional Architect certification.
• Experience building vehicle finance and dealer application.

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Build, evolve, and operate backend services at scale for ZoomInfo. You'll work primarily with Node.js/TypeScript (NestJS preferred), design robust REST/GraphQL APIs, optimize MongoDB/Redis, and deploy on cloud (GCP preferred or AWS) with a strong focus on reliability, performance, security, and cost efficiency.

What you'll do:

• Design, implement, and own microservices and REST/GraphQL APIs in Node.js/TypeScript (NestJS preferred)
• Translate product requirements into technical designs; break down work, estimate, and deliver incrementally
• Model data and optimize queries in MongoDB; implement effective caching with Redis (TTL, eviction, hot-key mitigation)
• Ship production-ready code with unit/integration tests; participate in on-call, incident response, and postmortems
• Containerize and deploy via Docker/Kubernetes; automate builds and releases with CI/CD (blue/green or canary)
• Instrument services for logs, metrics, and traces (p95/p99); continuously improve latency, reliability, and cost
• Review code, document designs, and mentor SE II/III engineers; contribute to shared standards and best practices

What you bring:

• 7+ years of software engineering experience, including 3+ years building backend services in Node.js/TypeScript
• Strong API fundamentals: versioning, pagination, authN/Z (OAuth/OIDC), and secure coding (OWASP)
• Hands-on with NestJS/Express/Fastify; familiarity with microservices patterns and event-driven workflows
• MongoDB expertise (schema design, indexing, basic sharding concepts) and Redis caching patterns
• Cloud experience on GCP (preferred) or AWS; Docker; working knowledge of Kubernetes; CI/CD with GitHub Actions/Jenkins/GitLab
• Observability skills: Datadog/OpenTelemetry/Prometheus/Grafana; confident debugging in production
• Collaboration and communication skills; bias for clean, well-tested, and well-documented code

Nice to have:

• Kafka or Pub/Sub; API Gateway/Ingress; feature flags; rate limiting and quotas
• Terraform/Helm; security tooling (SonarQube), dependency hygiene, secret management
• Performance profiling, load testing, and practical cost optimization

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This role will drive the design and implementation of security capabilities protecting AI models, AI-powered applications, and AI developer platforms across Ford's enterprise ecosystem. The position will focus on securing both internally developed AI systems and third-party AI technologies, ensuring governance, runtime protection, and operational monitoring.

You will help build and operate a next-generation AI security platform that integrates capabilities from Microsoft AI Security, Palo Alto Prisma AIRS, Google Model Armor, and enterprise security platforms, enabling safe and scalable AI adoption across Ford.

Responsibilities

AI Security Platform Engineering

• Design and build scalable AI security platform capabilities protecting AI models, AI pipelines, and AI applications.
• Implement security across the AI lifecycle, including model governance, runtime protection, and secure AI deployment.
• Integrate enterprise AI protection capabilities including Microsoft AI Security, Prisma AIRS, and Google Model Armor.

AI Endpoint & Runtime Security

• Implement AI endpoint protection capabilities, including KOI AI endpoint security, to protect AI workloads running on enterprise endpoints and developer environments.
• Secure AI interactions across developer endpoints, APIs, and AI-enabled applications.
• Implement controls to mitigate prompt injection, data leakage, model abuse, and adversarial AI threats.

AI Threat Detection & Security Operations

• Partner with Cybersecurity Team & Integrate AI security telemetry with enterprise detection platforms such as Google SecOps.
• Support SOC to build detection capabilities for AI-specific threats and misuse patterns.

Cloud & Infrastructure Security

• Secure AI workloads across Google Cloud (GCP), and Microsoft Azure.
• Implement secure infrastructure using Terraform and Infrastructure-as-Code.
• Design security controls for Kubernetes-based AI platforms, APIs, and microservices.

Engineering & Automation

• Develop automation and security tooling using Python, APIs, and modern full-stack development practices.
• Build reusable security services and APIs supporting AI engineering teams.
• Enable DevSecOps automation across AI development pipelines.

Leadership & Collaboration

• Lead and mentor a team of AI security engineers and platform engineers.
• Partner with AI engineering, platform engineering, and cybersecurity teams to embed security into enterprise AI development.
• Define the AI security engineering roadmap, standards, and platform capabilities.

Qualifications

• 12+ years of experience in cybersecurity, cloud security, or platform engineering.
• 3+ years of experience securing AI/ML platforms or AI-driven applications.
• 4+ years of hands-on software development experience, preferably in Python.
• Strong expertise in:
• AI / ML security
• API and microservices security
• Full-stack development
• Hands-on experience with:
• Kubernetes security
• Terraform / Infrastructure-as-Code
• Cloud platforms (GCP, AWS, Azure)

Preferred Qualifications

• Experience implementing enterprise AI security platforms.
• Experience with AI protection technologies, including:
• Microsoft AI Security
• Palo Alto Prisma AIRS
• Google Model Armor
• KOI AI Endpoint Security
• Google Security Command Center Enterprise (SCCE)
• Experience securing LLM-based applications and generative AI systems.
• Familiarity with AI threat models, adversarial AI techniques, and AI governance frameworks.

Preferred Certifications

• CISSP – Certified Information Systems Security Professional
• CCSP – Certified Cloud Security Professional
• Google Professional Cloud Security Engineer
• AWS Security Specialty
• Microsoft Azure Security Engineer (AZ-500)
• Certified Kubernetes Security Specialist (CKS)

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This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission.

As a mid-level Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness.

You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

Responsibilities:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful:

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a strong preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

We are seeking an experienced Staff Software Engineer to join Okta's Universal Directory Platform team within the Product Platform Pillar. The team serves as the intelligent core of the enterprise security fabric, maintaining the source of truth for all identity assets and their associated relationships.

This role follows a hybrid model requiring two days per week in our San Francisco office.

Opportunity

This position will be involved in the development, design, and maintenance of our highly performant, reliable, and scalable platform, which is critical for managing user lifecycles, groups, and memberships. The successful candidate will possess experience in building and deploying scalable, reliable software and infrastructure within a cloud environment.

What you’ll be doing

• Understand our identity management group codebase and development process: Jira, Technical Designs, Code Review, Testing, and Deployment.

• Develop and implement frameworks and toolings for our Universal Directory Service platform.

• Design and implement high-performance distributed scalable and fault-tolerant software components.

• Quickly deliver high-quality bug fixes and handle customer-reported issues.

• Conduct quality code reviews and automated testings.

• Partner with our Product Development, QA, and Site Reliability Engineering teams for scoping the development and deployment work.

What you’ll bring to the role

• The ideal candidate is someone who is experienced building software systems to manage and deploy reliable and performant infrastructure and product code at scale on a cloud infrastructure.

• 7+ years of Software Development in Java, preferably significant experiences with Hibernate and Spring Boot.

• 5+ years of development experience building services, internal tools and frameworks.

• 3+ years experience automating and deploying large scale production services in AWS, GCP or similar.

• Hands-on understanding with the practical application of SQL databases.

• Experience working with systems of scale ranging from monolithic applications to microservices.

• Ability to work effectively with distributed teams and people of various backgrounds.

And extra credit if you have experience in any of the following!

• B.S. Computer Science or equivalent

• Experience with the Go programming language.

• Experience of PostgreSQL, Docker and Kubernetes.

• Experience working with Active Directory or Microsoft Azure.

Below is the annual base salary range for candidates located in San Francisco Bay Area. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.

The annual base salary range for this position for candidates located in the San Francisco Bay area is between: $194,000-$243,000 USD

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You will own aspects of the customer-facing product, you will be working with different technologies, and finding technical solutions that are capable of handling millions of customer requests per day. You'll see that collaboration is second nature, you'll be greeted by a team of incredibly smart, talented, and motivated individuals who will help you define your new best, and most of all, you are hungry to be part of an ambitious team with colossal goals.

Responsibilities:

• Design, build, and deploy complex distributed systems
• Build 3rd party integrations with major conference providers using SDKs

Qualifications:

• 4+ years of software development experience.
• Experience with cloud-based infrastructure (AWS/GCP)
• Experience with SQL and NoSQL Databases/Datastores
• Good knowledge of RESTful API Standards
• Knowledge of industry best practices for package management, and their release cycles (CI/CD)
• Proven experience in distributed microservices development.
• Proven experience with distributed systems software design.
• High personal and leadership skills.
• Strong communication skills

Education:

• BSc in Computer Science, Mathematics, Software Engineering, or equivalent experience

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In this role, you will be responsible for shaping multi-year technical strategy, driving architectural coherence across organisations, and building systems that serve as foundational platforms for multiple product surfaces. You will lead the design and evolution of distributed backend systems, cloud-native infrastructure, and data platforms that operate at global scale with strict requirements for availability, latency, security, and cost efficiency.

These systems form the backbone for intelligent user experiences and must be designed for long-term extensibility and operational excellence. Building on this foundation, you will guide the integration of LLM-powered capabilities into production systems,defining patterns for retrieval, orchestration, evaluation, and responsible AI. You will ensure these capabilities are not isolated features, but deeply embedded, reliable, and scalable parts of the platform.

This role requires exceptional technical judgment, the ability to operate in highly ambiguous spaces, and a track record of influencing across teams and organisations. You will work closely with engineering leaders, product leaders, and applied scientists to align technical investments with long-term business outcomes.

Microsoft’s mission is to empower every person and every organisation on the planet to achieve more. As employees, we come together with a growth mindset, innovate to empower others, and collaborate to realise our shared goals. Each day, we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50-mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

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We’re looking for an experienced Site Reliability Engineer (SRE) to join our infrastructure team. In this role, you’ll blend software engineering and systems engineering to keep our large-scale distributed AI infrastructure reliable and efficient. You’ll work closely with ML researchers, data engineers, and product developers to design and operate the platforms that power training, fine-tuning, and serving generative AI models.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities:

Reliability & Availability: Ensure uptime, resiliency, and fault tolerance of AI model training and inference systems.

Observability: Design and maintain monitoring, alerting, and logging systems to provide real-time visibility into model serving pipelines and infra.

Performance Optimization: Analyze system performance and scalability, optimize resource utilization (compute, GPU clusters, storage, networking).

Automation & Tooling: Build automation for deployments, incident response, scaling, and failover in hybrid cloud/on-prem CPU+GPU environments.

Incident Management: Lead on-call rotations, troubleshoot production issues, conduct blameless postmortems, and drive continuous improvements.

Security & Compliance: Ensure data privacy, compliance, and secure operations across model training and serving environments.

Collaboration: Partner with ML engineers and platform teams to improve developer experience and accelerate research-to-production workflows.

Qualifications:

Required Qualifications: 4+ years of experience in Site Reliability Engineering, DevOps, or Infrastructure Engineering roles.

Preferred Qualifications: Strong proficiency in Kubernetes, Docker, and container orchestration. Knowledge of CI/CD pipelines for Inference and ML model deployment. Hands-on experience with public cloud platforms like Azure/AWS/GCP and infrastructure-as-code. Expertise in monitoring & observability tools (Grafana, Datadog, OpenTelemetry, etc.). Strong programming/scripting skills in Python, Go, or Bash. Solid knowledge of distributed systems, networking, and storage. Experience running large-scale GPU clusters for ML/AI workloads (preferred). Familiarity with ML training/inference pipelines. Experience with high-performance computing (HPC) and workload schedulers (Kubernetes operators). Background in capacity planning & cost optimization for GPU-heavy environments.

Work on cutting-edge infrastructure that powers the future of Generative AI. Collaborate with world-class researchers and engineers. Impact millions of users through reliable and responsible AI deployments. Competitive compensation, equity options, and comprehensive benefits.

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Reporting to the VP, Business Systems, you will lead our Enterprise Architecture, Integration, & RPA teams, setting the architectural standards, governance frameworks, and strategic vision that keep our technology landscape coherent, scalable, and aligned with business objectives.

This role is both deeply strategic and hands-on: you will shape the long-term architecture while staying close enough to the work to guide critical technical decisions across teams.

As the architectural leader for GitLab's internal technology ecosystem, you will establish and lead our Architecture Review Board, partnering early and often with system owners so architecture becomes an enabler rather than a gate.

You will rationalize our automation and integration landscape, clarify when to use AI, RPA, or traditional integration, reduce shadow IT and software sprawl, and drive clear patterns for data flows and system-of-record designations.

Key responsibilities include:

• Defining and driving GitLab's enterprise architecture strategy, setting clear principles and patterns for how internal systems connect, integrate, and scale across platforms like Salesforce, NetSuite, Zuora, Workato, and other core business applications.

• Establishing and leading GitLab's Architecture Review Board, engaging early with system owners and project teams to shape technical approaches, guide integration patterns, and ensure architectural decisions align with enterprise standards and business objectives.

• Designing and governing integration architectures and data flow patterns, including API-first approaches, point-to-point integrations, and data warehouse and reverse ETL models, in close partnership with Data Governance and other cross-functional stakeholders.

• Creating and executing a cohesive automation strategy that spans agentic AI, robotic process automation (RPA), and traditional integration technologies, rationalizing existing investments and defining clear decision frameworks for tool selection.

• Leading efforts to reduce shadow IT and software sprawl by implementing software governance processes, partnering with system owners to centralize fragmented solutions, eliminate redundant capabilities, and reduce technical debt and unnecessary spend.

• Ensuring enterprise, integration, and IA architectures meet SOX compliance and security requirements, including robust access controls, data governance, and audit-ready integration patterns that balance risk management with business agility.

• Aligning decentralized system roadmaps with enterprise architecture strategy, systematically identifying and addressing technical debt, and providing hands-on technical leadership and mentorship to Integration, RPA, and IA Engineering teams to elevate architectural thinking and execution.

To succeed in this role, you will need:

• Extensive experience defining and governing enterprise architecture in complex, matrixed organizations, including leading architecture strategy across core business systems such as ERP, CRM, CPQ, billing, and financial platforms.

• Deep technical background across integration, automation, and AI, with the ability to step into Architecture, Integration, RPA teams and contribute meaningfully to design discussions and problem solving.

• Expert-level knowledge of data modeling, integration architecture patterns, and API design, microservices architecture, including experience designing integration strategies that support both operational and analytical use cases.

• Strong experience establishing and leading architecture review boards or similar governance frameworks, balancing partnership-oriented engagement with clear, enforceable standards.

• Demonstrated success reducing shadow IT and software sprawl through thoughtful software governance, portfolio rationalization, and roadmap alignment with enterprise architecture principles.

• Deep understanding of SOX compliance, internal controls, and security architecture for business applications, with experience designing audit-ready integration and automation patterns.

• Exceptional communication and influencing skills, with the ability to engage VP and C-level stakeholders, translate complex architectural concepts into clear business language, and drive alignment across decentralized teams.

The Enterprise Architecture team at GitLab is responsible for designing, governing, and evolving the internal technology landscape that powers our business. We define how our core systems connect, integrate automation and AI into everyday workflows, and ensure our architecture is scalable, secure, and aligned with company priorities.

For more on how we work, see the Enterprise Applications Team Handbook Page.

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At Cloudflare, we're on a mission to help build a better Internet. Today the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

As a Senior Solutions Architect, you'll be a trusted advisor to Cloudflare's most strategic enterprise customers. You'll guide digital transformation by aligning business outcomes with Cloudflare's technology platform,including our network, application, security, and developer services.

Responsibilities

Serve as a strategic technical advisor for Cloudflare's top enterprise customers and prospects.

Engage at C-level (CIO, CTO, CISO) to influence technology roadmaps and position Cloudflare as a digital transformation partner.

Facilitate architectural visioning and roadmap workshops that connect business value to Cloudflare's platform capabilities,including emerging use cases in edge compute and serverless development.

Partner with Enterprise Architects and Engineering teams to co-design secure, scalable architectures that leverage Cloudflare's global network.

Translate industry trends (Zero Trust, Digital Sovereignty, AI workloads) into actionable architectural strategies for customers.

Guide clients across the engagement lifecycle: initial strategy, technical design, proof of concept, value realization, and ongoing success planning.

Identify product gaps and provide structured feedback to Product and Engineering teams; participate in roadmap reviews.

Inspire thought leadership through industry events, internal enablement, and technical storytelling.

What Success Looks Like

In your first 6 months:

You've built trusted executive relationships across 3–5 strategic accounts.

You've led 2–3 vision-setting or architecture workshops resulting in multi-year roadmap alignment.

You've shaped at least one key customer engagement involving i.e Cloudflare Developer Platform,demonstrating how edge-native services can accelerate innovation or reduce complexity.

What We're Looking For

15+ years of experience in technical presales, enterprise architecture, or IT leadership (e.g., Chief Architect, CTO, CISO).

Fluent in both business and technology strategy: able to make ROI-driven business cases while diving deep into technical design.

Familiarity with transformation levers such as Zero Trust, cloud migration, developer productivity, and edge compute.

Strong experience working with modern application architectures (e.g., microservices, APIs, event-driven systems, CI/CD).

Exposure to developer-first platforms, serverless models, or edge computing frameworks (Cloudflare Workers, AWS Lambda, GCP Cloud Functions, etc.).

Comfortable engaging a range of personas,from infrastructure teams to app developers to the C-suite.

Confident in public speaking, customer workshops, and evangelizing new ideas internally and externally.

Bonus: Familiarity with frameworks like TOGAF, NIST SP 800-207, and cyber risk management principles.

Preferred Qualifications

Bachelor's or Master’s degree in Computer Science, Engineering, Information Security, or related field.

Experience in regulated industries (FSI, Government, Telco) or complex multi-cloud/hybrid environments.

Hands-on technical curiosity and the ability to learn continuously,especially across networking, application performance, security, and developer services.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare’s enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government election websites in 33 states.

1.1.1.1: We released 1.1.1.1 to help fix the foundation of the Internet by building a faster, more secure and privacy-centric public DNS resolver. This is available publicly for everyone to use - it is the first consumer-focused service Cloudflare has ever released.

Here’s the deal - we don’t store client IP addresses never, ever. We will continue to abide by our privacy commitment and ensure that no user data is sold to advertisers or used to target consumers.

Sound like something you’d like to be a part of? We’d love to hear from you!

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Your responsibilities will include:

• Building and maintaining backend services in .NET & Python, ensuring they are scalable and secure.
• Designing and building web apps using React JS, Next.js and Node.js, ensuring a smooth and intuitive interface for users to interact with application.
• Leveraging AWS and Azure services to ensure the backend and platform services are performant, reliable, and scalable.
• Responsible for e2e quality, deployment and production of services including testing, CI/CD, monitoring and incident management.
• Collaborating with product teams to navigate unforeseen issues & help them to remain on track.
• Maintaining clear, concise, and comprehensive documentation, ensuring that users are equipped to utilize the tools effectively.

To be successful in this role, you will need:

• 3+ years of full-stack software engineering experience.
• Strong background in .NET and experience building scalable backend services.
• Extensive experience with React JS for building interactive and responsive UIs.
• Basic to intermediate understanding of Kubernetes and the Kubernetes ecosystem.
• Understanding of user authentication, authorization, and securing web applications and APIs.
• Familiar with modern architectural patterns, including microservices, serverless, and event-driven architectures.
• Strong focus on optimizing and improving the developer experience for application users.
• Familiarity with AWS or Azure services and cloud architecture, particularly in building scalable and resilient applications.
• Knowledge of CI/CD principles and experience in automating deployment workflows.
• Experience in monitoring and managing incidents.
• Strong communication skills, with experience working in cross-functional teams and liaising between platform engineers, UX/UI designers, and DevOps.

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Your responsibilities will include:

• Building and maintaining backend services in C# .NET Core and Python, ensuring they are scalable and secure.
• Developing and building web apps using React JS, Node.js or similar frameworks, ensuring a smooth and intuitive interface for users to interact with application.
• Leveraging AWS and Azure services to ensure the backend and platform services are performant, reliable, and scalable.
• Collaborating with product teams to navigate unforeseen issues and help them to remain on track.
• Maintaining clear, concise, and comprehensive documentation, ensuring that users are equipped to use the tools optimally.
• Developing comprehensive test coverage, including unit, integration and automated tests to validate business functionality and preserve long-term code quality.

To be successful in this role, you will need to have:

• A Bachelor's or Master's degree in Computer Science, Engineering, Information Systems or a related field.
• 3+ years of hands-on experience in .NET, Java or Python, with strong SQL skills and experience handling structured and unstructured data.
• Proficiency in at least one modern front-end framework (e.g., React, Angular).
• Proven understanding of data structures, algorithms, object-oriented design, system design fundamentals with a strong understanding of software development principles.
• Experience using Docker, Kubernetes and related tools to build, deploy and operate scalable and resilient cloud-native applications.
• Good understanding of authentication, authorization and securing web applications and APIs (e.g., OAuth, JWT).
• Familiarity with microservices, serverless systems and event-driven architectures.
• Experience with scripting languages for automation (e.g., Python, Bash).
• Proven understanding of Information Security best practices.
• Proficiency in source control and code management systems (e.g., Git).

If you are a motivated and experienced software engineer looking for a new challenge, please apply for this exciting opportunity.

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Our technology teams are looking for Software Engineers with C++, Python, or Java to design, implement, and maintain systems supporting our technology business functions.

Candidate is expected to:

• Work closely with technology teams to develop requirements and specifications for varying projects
• Take part in the development and enhancement of the backend distributed system
• Apply AI/ML (deep learning, natural language processing, large language models) to practical and comprehensive technology solutions

Qualifications/Skills Required:

• 2-5 years of experience working with C++, Python, or Java
• Experience with ML libraries, Pandas, NumPy, FastAPI (Python), Boost (C++), Spring Boot (Java)
• Must be comfortable working in both Unix/Linux and Windows environments
• Good understanding of various design patterns
• Strong analytical and mathematical skills along with an interest/ability to quickly learn additional languages and quantitative concepts
• Solid communication skills
• Able to work collaboratively in a fast-paced environment with a passion to solving complex problems
• Detail oriented, organized, demonstrating thoroughness and strong ownership of work

Desirable Skills/Knowledge:

• Bachelor or Master's degree in Computer Science, Applied Mathematics, Statistics, Data Science/ML/AI, or a related technical or engineering field
• Demonstrable passion for developing LLM-powered products whether that is through commercial experience or open source/academic projects you have worked on in your own time
• Hands-on experience building ML and data pipeline architectures
• Understanding of distributed messaging systems
• Experience with Docker/Kubernetes, microservices architecture in a cloud environment (AWS, GCP preferred)
• Experience with relational and non-relational database platforms

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Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviours, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes.

Responsibilities

• Build and deploy multi-agent systems for agentic reasoning validation
• Develop pipelines to detect errors and scale human judgment
• Combine classical ML, LLMs, and multi-agent techniques for reliability
• Lead research into agent failure modes and ship fixes
• Use AI tools to speed prototyping and iteration
• Build data-driven evaluations and deploy rapid improvements
• Integrate systems into Scale's platform

Ideal Candidate

• PhD or MSc in Computer Science, Mathematics, Statistics, or related field
• 3+ years shipping scaled production ML systems
• Demonstrated real-world impact
• Mastery of PyTorch, TensorFlow, JAX, or scikit-learn
• Deep expertise in agentic LLMs and multi-agent systems
• Strong software engineering and microservices (AWS/GCP)
• Rapid, data-driven iteration
• Proficiency using AI tools to accelerate work
• Strong research depth with practical bias
• Excellent cross-functional communication

Nice to Have

• Experience prototyping agent evaluation/reliability systems
• Human-in-the-loop or annotation pipeline work
• Open-source contributions in agents, evaluation, or alignment
• Publications on agent reliability (NeurIPS, ICML, ICLR)

Compensation

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity-based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

About Us

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.

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Your responsibilities will include:

• Designing extensible, production-grade services that can support frontier AI workflows, including multi-modal inputs, long-running processes, and agentic orchestration.
• Building and operating distributed systems at scale, with strong guarantees around correctness, reliability, observability, and cost efficiency.
• Integrating with public LLM APIs and AI services, designing abstractions that are resilient to model churn, latency variability, and evolving usage patterns.
• Designing and maintaining data transformation and processing systems, supporting complex schema evolution, customization, and high-throughput workloads.
• Partnering closely with infrastructure, product, and customer-facing teams to define requirements, shape technical direction, and deliver seamless integration experiences for customers.
• Leading multi-quarter technical initiatives, including authoring and driving a 6+ month technical roadmap for major platform investments.
• Applying strong engineering judgment in ambiguous problem spaces, balancing speed with long-term maintainability and operational excellence.
• Raising the quality bar through thoughtful system design reviews, rigorous code reviews, and mentorship grounded in real-world production experience.

Ideal Experience:

• 7+ years of professional software engineering experience, with a strong background in building and operating large-scale, production-grade platforms.
• Deep expertise in distributed systems and cloud-native architectures, including Kubernetes, microservices, event-driven systems, caching, and production databases.
• Proven ability to lead multi-quarter technical initiatives, work effectively across cross-functional teams, and apply strong architectural judgment in ambiguous environments.

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training.

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About EarnIn

EarnIn is a pioneer of earned wage access, offering financial flexibility to individuals living paycheck to paycheck.

We're seeking experienced, passionate, and resourceful senior engineers to join our backend teams. As a backend engineer, you will work cross-functionally with various teams and contribute to the design and development of our backend services.

This position will be a hybrid role based in our Bengaluru office, as part of our expanding site presence, with 2 days per week in the office. EarnIn offers excellent benefits for our employees, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View.

Responsibilities

• Design and implement features robust enough to support our rapid expansion.

• Drive the implementation of new features by breaking complex problems down to their essentials, translating that complexity into elegant design, and creating high-quality, maintainable code.

• Create and maintain test automation to enable continuous integration and development velocity.

• Design & deliver thoughtfully crafted REST APIs to drive the interactions between our client applications and backend services.

• Collaborate and mentor other engineers while providing thoughtful guidance using code, design, and architecture reviews.

• Work cross-functionally with other teams (data science, design, product, marketing, analytics).

• Leverage a broad skill set and help us implement and learn new technologies quickly.

• Provide and receive design and implementation evaluations and improve with each iteration.

• Debug production issues across our services infrastructure and multiple levels of our stack.

• Think about distributed systems & services, and care passionately about producing high-quality code.

Requirements

• 4+ years of development experience in Software Engineering

• Bachelor's, Master’s, or PhD degree in computer science, computer engineering, or a related technical discipline, or equivalent industry experience.

• Proficient in at least one modern programming language such as C#, Java, Python, Go, and Scala.

• Hands-on experience working with various databases (DynamoDB, MySQL, ElasticSearch) and data pipeline technologies.

• Experience with continuous integration and delivery tools.

• Experienced in developing and executing functional and integration tests.

• Excellent written and verbal communication skills.

• Ability to thrive in a fast-paced, dynamic environment and have a bias towards action and results.

• Experience with Kubernetes, microservices, and event-driven architecture is a strong plus.

• Experience using AI-assisted development tools (e.g., Copilot, Cursor, LLMs) is a plus

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In this role, you will specialise in backend development, designing and optimising robust microservices to ensure scalability, security, and reliability. You will support full-stack efforts, collaborate with cross-functional teams on payments, fraud detection, and compliance initiatives, and contribute to the creation of a high-scale financial products platform.

Responsibilities:

• Develop and optimise microservices for high-concurrency transactions using Go, Postgres, and Kafka.
• Collaborate on system architecture, testing, and monitoring to ensure uptime and performance.
• Build internal tools using frontend technologies as needed to support operational efficiency.
• Support the Technical Lead in risk mitigation and align with engineering, product, and compliance teams to drive project success.
• Contribute to the development of secure, scalable systems for handling financial data and transactions.
• Iterate rapidly on feedback to deliver high-quality solutions in a dynamic environment.

Basic Qualifications:

• 5+ years of software engineering experience, with a strong focus on backend development.
• Proficiency in Go or similar languages and experience with databases (e.g., Postgres) and streaming systems (e.g., Kafka).
• Familiarity with building distributed systems for high-scale, low-latency environments.
• Knowledge of handling secure financial data.
• Ability to contribute to frontend development for internal tools when required.
• Strong communication and problem-solving skills, with a collaborative mindset.

Preferred Skills and Experience:

• Experience in fintech, payments, or regulatory frameworks (e.g., PCI-DSS, AML/KYC).
• Prior work in a fast-paced, startup-like environment on greenfield projects.
• Comfort navigating ambiguous requirements and iterating based on feedback.
• Passion for leveraging AI to transform financial systems.

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A key part of this role is balancing long-term platform health with near-term business needs, while driving operational excellence through strong sprint management, clear delivery expectations, and continuous improvement. You'll also champion the integration of AI-native solutions across our operations and go-to-market systems and within team workflows, helping GitLab scale efficiently.

This role includes leading large, complex programs that drive business transformation, ensuring our platform remains scalable, secure, and compliant as we grow. Some examples of our projects:

• Building and evolving a scalable Salesforce architecture across integrated go-to-market applications
• Advancing Salesforce DevOps practices (source control, continuous integration, and release management) and platform governance
• Designing and delivering advanced Salesforce solutions and integrations with other critical business systems
• Introducing AI-native capabilities and automation to improve system workflows and team productivity

Responsibilities:

• Lead and mentor a team of Salesforce engineers, supporting career growth through coaching, feedback, and hands-on guidance.
• Drive the architectural vision and technical roadmap for GitLab's Salesforce platform and integrated go-to-market applications, with a focus on scalability, performance, security, and compliance.
• Champion the integration of AI-native solutions within operations and go-to-market systems and within engineering workflows to improve efficiency and unlock new capabilities.
• Partner with cross-functional stakeholders (Sales, Marketing, Customer Experience, and Operations) to translate business needs into a prioritized engineering backlog and delivery plan.
• Provide technical leadership on complex challenges by contributing to solution design, reviewing code, and guiding implementation across the Salesforce ecosystem.
• Own operational excellence for the team, including sprint planning, capacity management, removing blockers, and ensuring high-velocity, high-quality delivery.
• Establish and enforce engineering best practices, including source control, continuous integration and continuous deployment, release management, code quality, and platform governance.
• Lead large-scale programs and integrations across Salesforce and other key business systems, introducing automation and process improvements to help GitLab scale.

Requirements:

• 7+ years of progressive experience in Salesforce development and architecture, building scalable solutions that support go-to-market systems.
• 2+ years of experience managing or leading technical teams, with a track record of coaching, giving actionable feedback, and growing team members.
• Strong proficiency with Salesforce technologies including Apex, Lightning Web Components, Visualforce, and SOQL, and the ability to guide design and code review decisions.
• Strong command of Salesforce DevOps practices, including Git-based source control, continuous integration and continuous delivery (CI/CD), and reliable release management.
• Experience designing and overseeing integrations between Salesforce and other business systems, including using integration platform as a service (iPaaS) tools and automation solutions.
• Ability to translate stakeholder needs into a prioritized engineering backlog, balancing long-term platform health with near-term business outcomes.
• Excellent communication and relationship-building skills, with the ability to explain technical concepts clearly to non-technical partners across Sales, Marketing, Customer Experience, and Operations.
• Comfort working in a remote, asynchronous environment, with a passion for using AI-native solutions to improve team productivity and the systems you build.

About the team: The Salesforce Engineering Manager is part of the Enterprise Applications team, which is responsible for GitLab's critical business applications, including Salesforce, ServiceNow, Zuora, NetSuite, and more. This team helps GitLab scale by delivering new capabilities while maintaining a reliable, secure, and compliant production environment.

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This is a hybrid role working 3 days per week from our Aveiro office. You will report to the Group Product Manager on the Acuity Scheduling team.

Responsibilities

• Product Ownership: Act as the primary product owner for your team, setting the roadmap and priorities based on technical feasibility, user impact, and business goals.
• Technical Strategy & Roadmap: Collaborate with engineers to define a scalable technical strategy that aligns with product goals, focusing on data architecture, systems design, and service-based solutions.
• Cross-functional Collaboration: Partner with engineering, data science, and UX teams to understand requirements, manage trade-offs, and deliver solutions that balance speed and scalability.
• Cross-organization Collaboration: Work directly with Squarespace Identity and Security teams to develop and realise a shared vision of a singular identity and authentication system.
• Stakeholder Communication: Translate technical architecture and system requirements into clear, actionable items for stakeholders across the company, including senior leadership and non-technical teams.
• Quality, Security & Performance Optimisation: Focus on the system's stability, reliability, and scalability by working closely with the engineering team on continuous improvement, platform security and technical debt management.
• Architecture Oversight: Guide architectural decisions to ensure optimal security, data flow, storage, and access within our product ecosystem. Advocate for sustainable choices in a service-oriented approach to component-based architecture.

Requirements

• Experience: 4-6 years in product management or a technical role with product ownership, preferably within a data-driven environment; ideally in an identity-centric role.
• Technical Expertise: Strong background as the technical product lead on teams owning data architecture, systems design, and service-based architecture (e.g., microservices), with the ability to engage deeply in technical discussions and decisions.
• Systems Thinking: Proven experience in end-to-end system thinking and design, including a strong grasp of component-based architectures, data storage options, and integration layers.
• Data Architecture: Hands-on experience with data modeling, database design, and data warehousing principles, including familiarity with large data model improvement initiatives.
• APIs & Integration: Understanding of RESTful API design, OAuth, identity federation, and integration patterns to ensure seamless interoperability between services and systems.
• Analytical Mindset: Proficiency in using data to inform decisions autonomously, including experience with data analysis and product analytics tools.
• Communication Skills: Ability to communicate complex technical concepts to both technical and non-technical audiences, bridging the gap between product vision and technical execution.
• Agile Experience: Familiarity with Agile methodologies, including backlog management, sprint planning, and cross-functional team collaboration.
• Project Management: Familiarity with project management tools like Jira, Asana, or similar.

Nice to Have

• Technical Transformation: Experience leading teams and/or organisations from a monolithic architecture to a service-oriented one.
• Identity Experience: High-level understanding of and experience with core user registration flows and OAuth as it pertains to user identity needs.
• Technical Documentation: Experience documenting technical data architecture, service flows, and system dependencies to ensure alignment and knowledge-sharing within the team

Benefits & Perks

• Health insurance with 100% covered premiums for you, your spouse or partner, and dependent children, including medical, dental, and vision
• Life and Disability Insurance
• Pension benefits with employer match
• Fertility and adoption benefits
• Headspace mindfulness app subscription
• Global Employee Assistance Program
• Statutory paid time off and all statutory leaves, as required
• Meal Allowance and Flex Benefits Account
• Employee donation match to community organisations
• In the easily accessible city centre of Aveiro
• 7 Global Employee Resource Groups (ERGs)

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We're looking for someone who is intensely curious and holds themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level. We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

Responsibilities:

• Contribute to the architecture of the billing platform to help it scale and support rapid growth in the Dialpad customer base.
• Build reusable, well-defined APIs that are consumed in product code.
• Monitor for performance and accuracy of how we bill our customers.
• Build automated tools to enable our customers and support teams to perform self-service billing operations.
• Collaborate and cooperate with other engineers and product managers in design and code reviews, and translate business requirements into pragmatic technical solutions while discussing and navigating tradeoffs.
• Identify classes of problems across the system and come up with solutions in the form of a long-term engineering roadmap.
• Mentor new hires to help the team grow.

Requirements:

• Inquisitiveness and a background with critical stable systems of scale.
• Experienced with real-time debugging and outages, and have built backend data models that have high performance requirements.
• Bachelor's degree in Computer Science or equivalent practical experience.
• Demonstrated experience with 2+ large production backend systems at scale: designing, building, launching, and maintaining.
• Deep experience with cloud-deployed solutions.
• Strong backend programming experience whether with Python, Java, C#, Node.js, Ruby, etc.
• Experience designing backends based on microservices architecture.

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Key Responsibilities:

• Lead and mentor engineers, fostering a culture of collaboration and continuous improvement.
• Scale logging, tracing, and metrics platforms to support a global datacenter footprint.
• Develop and refine monitoring and alerting to enhance system reliability.
• Advise engineers across CoreWeave on optimal usage of Observability systems.
• Automate interactions with CoreWeave's Compute Infrastructure layer.
• Manage production clusters and ensure development teams follow best practices for deployments.

Required Qualifications:

• 7+ years of experience in Software Engineering, Site Reliability Engineering, DevOps, or a related field.
• Deep expertise across all observability pillars using tools like ClickHouse, Elastic, Loki, Victoria Metrics, Prometheus, Thanos and/or Grafana.
• Expertise in Kubernetes, containerization, and microservices architectures.
• Proven track record of leading incident management and post-mortem analysis.
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications:

• Experience running and scaling observability tools as a cloud provider.
• Experience administering large-scale kubernetes clusters.
• Deep understanding of data-streaming systems.

The base salary range for this role is $188,000 to $250,000.

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At Cloudflare, we are on a mission to help build a better Internet. Today, the company runs one of the world's largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies.

Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks.

We're not looking for people who wait for a polished roadmap; we're looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a 'normalized' problem and the AI-native curiosity to create a solution using the latest tools.

Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up.

If you're the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you'll fit right in.

Note: This role is based in Lisbon.

About the team

The Pre-Sales Solutions Engineering organization is responsible for the technical sale of the Cloudflare solution portfolio, ensuring maximum business value, fit-for-purpose solution design and an adoption roadmap for our customers. As a Solutions Engineer, you are the technical customer advocate within Cloudflare. To aid your customers, you will work closely with every team at Cloudflare, from Sales and Product to Engineering and Customer Success.

Your goal should drive you through the entire organization as you seek out and create solutions for your customer's needs.

Virtual Solution Engineers (VSE) are a specialized part of this team, engaging directly with Small and Medium Business (SMB) customers across the Europe, Middle East and Africa (EMEA) region. They deliver product demonstrations, conduct discovery sessions, build technical alignment, and ensure customers understand how Cloudflare can solve their challenges at scale.

VSEs work primarily through digital channels, collaborating closely with Account Executives (AE) across multiple markets to engage with new prospects and help existing customers move forward in their journey with Cloudflare.

Ultimately, we're committed to accelerating sales cycles and increasing win rates while increasing productivity and efficiency, through standardization and automation.

Who are we looking for?

Our Virtual Solution Engineers come from a wide range of backgrounds. We're serious about building a diverse team. When hiring we look for experience combined with genuine curiosity for our technology and ambition to be as diligent and helpful as possible in supporting our customers and partners to achieve their goals.

The range of products and solutions offered by Cloudflare is broad so that we are able to meet our lofty goal of helping to build a better Internet. A broad knowledge of Internet performance, networking and security technology is required.

The curiosity to maintain and develop new knowledge is essential to keeping up with the high rate of product innovation at Cloudflare.

Ultimately, you are passionate about technology and have the ability to explain complex technical concepts in easy-to-understand terms. You are naturally curious, and an avid builder who is not afraid to be hands on.

Role Responsibilities

Connecting with multiple stakeholders within Cloudflare and utilizing a variety of tools, your role will be to support colleagues, customers and partners throughout the sales process by:

• Performing research and analysis on current and prospective customers' business and product usage;

• Leading technical discovery to understand customer requirements and challenges;

• Building and delivering product demonstrations to prospective customers;

• Owning technical validation activities such as Proof of Concepts, Request for Proposals and Solution Design;

• Translating complex technical capabilities into clear outcome-driven solutions.

• Staying on top of Cloudflare's new products, Internet technologies, and the competitive landscape.

What Makes This Role Exciting

• Regional Impact: You'll work with a diverse range of customers across EMEA, adapting to different markets, industries, and digital maturity levels;

• Breadth of technology: You'll cover Cloudflare's full platform: Application Services, Networking, and Developer Platform;

• Ownership: Build technical confidence throughout the sales cycle;

• Collaboration: You'll work hand-in-hand with teams such as Sales, Solutions Engineering, Marketing, Product, and Customer Success to help new audiences discover Cloudflare and to guide customers through evaluation and adoption;

• Innovation and scale: You'll contribute to campaigns, digital events, and scalable technical content that expand Cloudflare's reach and help more organizations benefit from our platform.

Examples of desirable skills, knowledge, and experience:

• Graduates of technical, computer science, engineering or other relevant degrees;

• 1-5 years of professional experience, ideally in technical presales, solutions engineering, consulting, or related roles;

• Strong knowledge of Internet fundamentals (HTTP/S, DNS, TLS, networking, APIs).

In other words, a solid understanding of 'how the Internet works';

• Programming and application development knowledge. Python, JavaScript, Bash experience is preferred.

• Excellent communication skills and the ability to present complex concepts clearly and confidently in front of an audience.

• Comfortable working across multiple markets and time zones in the EMEA region.

• Fluency (written & spoken) in English AND Arabic

Bonus!

• Previous experience in a customer-facing consultative or support role.

• Understanding of how customers make buying decisions and how to explain Return On Investment.

• Knowledge of security products such as Bot Management and Web Application Firewalls (WAF).

• Exposure to emerging technical landscape trends, e.g. cloud security platforms, SASE and Zero Trust.

• Hands-on knowledge of cloud providers (e.g. AWS, Azure, GCP) and modern app architectures (serverless, containers, microservices).

• Understanding of common application security risks (e.g., CSRF, XSS, SQLi) and mitigation strategies.

• Experience with regulatory or compliance frameworks (SOC-2, PCI DSS, HIPAA, GDPR).

• Track record of building reusable assets; demo environments, reference architectures, or presales tooling.

What Makes Cloudflare Special?

We're not just a highly ambitious, large-scale technology company. We're a highly ambitious, large-scale technology company with a soul. Fundamental to our mission to help build a better Internet is protecting the free and open Internet.

Project Galileo: Since 2014, we've equipped more than 2,400 journalism and civil society organizations in 111 countries with powerful tools to defend themselves against attacks that would otherwise censor their work, technology already used by Cloudflare's enterprise customers--at no cost.

Athenian Project: In 2017, we created the Athenian Project to ensure that state and local governments have the highest level of protection and reliability for free, so that their constituents have access to election information and voter registration. Since the project, we've provided services to more than 425 local government entities.

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As a member of the Data Platform Team, you will have the opportunity to drive technical decision-making to accelerate delivery, mentor engineers, and grow team capability. You will champion event-driven architecture adoption and build consensus across the organization. You will participate in the company's data infra strategy planning and initiatives.

Key responsibilities include:

• Design and implement the platform to deliver data to teams with a focus on providing managed solutions through APIs.
• Develop a stream processing architecture and solve for scalability and reliability.
• Improve the performance, security, reliability, and scalability of our data platforms, and related services and participate in the teams on-call rotation.
• Establish guidelines, guard rails for data access and storage for stakeholder teams.
• Ensure compliance with standards for data protection regulation.

To be successful in this role, you will need to have 12+ years of software engineering experience. You should understand the CAP theorem and concurrency models, and be able to clearly define data models and establish guidelines around data management. You should be familiar with one of the distributed NewSQL datastores such as CockroachDB, TiDB, YDB, Yugabyte and/or stream processing tools such as NATS or Kafka.

Additionally, you should have experience with designing and operating systems at scale, API designs and microservices, and Kubernetes and have interest or experience with using it for event-driven and/or stateful orchestration. You should be excited to have the opportunity to contribute to a Kubernetes operator in order to manage data systems.

The base salary range for this role is $188,000 to $250,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location.

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Key responsibilities include:

• Design, develop, and deploy high-quality features across Dialpad's web and desktop-native applications.
• Write clean, modular, and maintainable code using best practices along with unit & integration tests.
• Participate in code reviews to ensure code quality, maintainability, and scalability.
• Ensure that features are shipped on time and with the highest quality.
• Participate in a rotating team on-call schedule to quickly diagnose and resolve critical issues, ensuring a seamless customer experience.
• Collaborate with cross-functional teams to build and use common components and practices across Dialpad products.
• Mentor junior engineers and help them grow their skills and expertise.

Requirements include:

• 5+ years of professional experience in Full-Stack Software Engineering.
• Strong experience with Python, APIs, Vue/React, HTML, CSS, JavaScript, TypeScript, GraphQL, GCP, or other cloud infrastructures, etc.
• Practical experience designing, deploying, and optimizing solutions leveraging serverless computing, microservices, and event-driven architectures.
• Proficiency with both SQL and NoSQL databases.
• Experience with building reusable and modular components for both frontend and backend.
• Experience with mentoring junior engineers and helping them grow their skills.
• Experience with RESTful APIs and GraphQL schemas.
• Bachelor's degree in Computer Science or equivalent practical experience.
• Proven ability to design, build, launch, and maintain at least two large-scale production systems.
• Experience with Agile development methodologies.
• Strong debugging and troubleshooting skills.
• Strong communication and collaboration skills.

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Dialpad is the AI-native business communications platform. We unify calling, messaging, meetings, and contact center on a single platform - powered by AI that understands every conversation in real time.

More than 70,000 companies around the globe, including WeWork, Asana, NASDAQ, AAA Insurance, COMPASS Realty, Uber, Randstad, and Tractor Supply, rely on Dialpad to build stronger customer connections using real-time, AI-driven insights.

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time.

Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do. Visit dialpad.com to learn more.

Being a Dialer

At Dialpad, AI isn’t just a feature; it’s how our teams do their best work every day. We put powerful AI tools in every employee’s hands so they can move faster, think bigger, and achieve more.

We believe every conversation matters. And we’ve built the platform that turns those conversations into insight and action, for our customers and ourselves.

We look for people who are intensely curious and hold themselves to a high bar. Our ambition is significant, and achieving it requires a team that operates at the highest level.

We seek individuals who embody our core traits: Scrappy, Curious, Optimistic, Persistent, and Empathetic.

The Role

As a Senior SDET, you are a strong software engineer with deep expertise in test automation and quality engineering. You design and own scalable test frameworks, drive quality strategy for your domain, and proactively identify risk in complex, cloud-native systems.

This position requires a hybrid work arrangement, with three days in the office. The role reports to the Manager of Quality Assurance, who is located in Bangalore.

This role is hands-on, technical, and impact-driven, with clear expectations around ownership, influence, and mentorship.

What You’ll Do

• Design, develop, and maintain scalable automated testing frameworks for APIs, microservices, and web integrations.

• Perform deep-dive testing of the Connect platform, with a strong focus on asynchronous workflows, data consistency, resiliency, and latency.

• Own and evolve quality gates within the CI/CD pipeline, ensuring fast, actionable feedback on every pull request.

• Plan and execute functional, regression, and end-to-end test coverage across UI, API, and database layers.

• Build internal tools and utilities to help reproduce, debug, and isolate complex production issues.

• Set up, execute, and continuously improve automated test suites; derive meaningful quality KPIs and clearly communicate results.

• Provide detailed failure analysis to enable rapid diagnosis and resolution of product or test defects.

• Design and execute load, stress, and performance tests across services and critical user workflows.

• Participate actively in architecture and design reviews, advocating for testability and appropriate test hooks.

• Define and execute comprehensive test strategies aligned with product and platform goals.

• Write clean, reliable, and maintainable code, solving complex problems with scalable solutions.

• Mentor junior and mid-level engineers, while staying current on modern testing and software development best practices.

What You’ll Bring

• 6+ years of professional software development experience, with strong emphasis on test automation for large-scale systems.

• Strong coding skills in Python, Java, or JavaScript.

• Proven experience designing test frameworks, test strategies, and reviewing system designs.

• Solid understanding of testing methodologies: regression, integration, end-to-end, load, and performance testing.

• Hands-on experience with API and integration testing; strong knowledge of RESTful services.

• Experience working in cloud-native, distributed environments.

• Experience building and maintaining CI/CD pipelines using Jenkins and GitHub.

• Strong written and verbal communication skills; comfortable collaborating across teams and geographies.

• Demonstrated ownership, proactive problem-solving, and ability to operate independently.

Technologies Utilised

• GCP: App Engine (GAE), Kubernetes (GKE), Compute Engine (GCE)

• Languages & Tools: Python, Vue, Git, GitHub, Jira

Why Join Dialpad

• Work at the center of the AI transformation in business communications

• Build and ship agentic AI products that are redefining how companies operate

• Join a team where AI amplifies every employee’s impact

• Competitive salary, comprehensive benefits, and real opportunities for growth

We believe in investing in our people. Dialpad offers competitive benefits and perks, cutting-edge AI tools, and a robust training program that help you reach your full potential.

We have designed our offices to be inclusive, offering a vibrant environment to cultivate collaboration and connection.

Our exceptional culture, repeatedly recognised as a Great Place to Work, ensures that every employee feels valued and empowered to contribute to our collective success.

Don’t meet every single requirement? If you’re excited about this role and possess the fundamental traits, drive, and strong ambition we seek, but your experience doesn’t meet every qualification, we encourage you to apply.

Dialpad is an equal-opportunity employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment.

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This high-impact role sits within the Lakebase Go-To-Market team and partners closely with regional Account Executives to drive adoption of Lakebase with platform, application, and data teams.

Lakebase gives customers a unified, governed foundation for operational workloads and AI-native applications, helping them move away from a fragmented estate of point databases toward a modern, scalable, serverless Postgres service.

If you want to be at the forefront of operational databases for AI and intelligent applications at one of the fastest-growing data and AI companies in the world, this is your opportunity.

The impact you will have

• Drive new Lakebase revenue by identifying, qualifying, and closing Lakebase opportunities within a defined territory, in partnership with regional Account Executives and the broader account team.

• Lead with outcomes for key Lakebase personas , including platform teams and developers, data teams, and central IT , articulating how Lakebase helps them ship features faster, simplify operational data architectures, and improve governance and cost efficiency.

• Sell the value of fully-managed Postgres for intelligent applications, positioning Lakebase as the optimal choice for operational workloads that power real-time, AI-driven experiences.

• Run complex, multi-threaded sales cycles from discovery and value hypothesis through commercial negotiation and close, navigating executive, technical, and line-of-business stakeholders.

• Orchestrate proof-of-value and POCs that validate Lakebase’s benefits for OLTP-style workloads, reverse ETL, and AI/ML-driven applications, in partnership with solution architects and specialists.

• Compete and win against legacy and cloud-native operational databases by leveraging our compete assets, benchmarks, and customer references.

• Align to measurable business outcomes such as performance, developer productivity, time-to-market for new features, cost reduction, and simplification of the operational data landscape.

• Partner cross-functionally with Product Management, Marketing, Customer Success, and Partner teams to shape territory plans, launch plays, and co-selling motions with key ISVs and GSIs.

• Enable the field by sharing Lakebase best practices, success stories, and sales motions with broader sales teams, helping scale Lakebase proficiency across the organization.

What success looks like in this role

This role requires the ability to operate across two key motions simultaneously:

• Establish top strategic focus accounts by engaging application development teams to create net-new intelligent applications leveraging Lakebase.

• Drive longer-term Postgres standardization and migration within Databricks' most strategic accounts.

Candidates should demonstrate how they can act as a force multiplier across multiple dimensions of the business.

Success in this role requires strength in four areas:

• Business ownership – Operate at a business-unit level by tracking revenue, pipeline, and key observations, and by identifying areas needing additional focus or support.

• Strategic account engagement – Partner with account teams to engage priority accounts across the global DB700, driving strategic opportunities from initial engagement through successful outcomes.

• Field enablement – Build and execute enablement plans that empower AEs and SAs to confidently carry the Lakebase conversation even when the specialist is not present.

Market voice and thought leadership – Develop an internal and external presence by contributing to global AMAs and internal forums, and by representing Databricks at key first- and third-party events.

What we look for

• 7+ years of enterprise SaaS sales experience, consistently exceeding quota in complex, multi-stakeholder deals.

• Proven success selling data platforms, operational databases (e.g., Postgres, MySQL, cloud-native DBaaS), or adjacent data/AI infrastructure to technical buyers and business leaders.

• Strong understanding of modern data and application architectures, including cloud-native services, microservices, event-driven systems, and how operational data underpins AI and analytics strategies.

• Ability to sell to both technical stakeholders (developers, architects, data engineers) and business stakeholders (product leaders, operations, line-of-business owners).

• Demonstrated experience leading specialist or overlay motions, working jointly with core Account Executives to create and progress opportunities.

• Executive presence with the ability to whiteboard architectures, lead C-level conversations, and build trust with senior decision makers.

• Strong value selling skills: adept at discovering pain, building a business case, and tying technical capabilities to clear, quantified outcomes.

• Excellent communication, storytelling, and negotiation skills, with comfort presenting to both large and small audiences.

• Bachelor’s degree or equivalent practical experience.

Preferred qualifications

• Experience selling Postgres, operational databases, OLTP workloads, or transactional cloud database services, ideally within large or strategic accounts.

• Familiarity with data platforms, lakehouse architectures, and cloud ecosystems (AWS, Azure, GCP), including how operational databases fit within broader data and AI strategies.

• Understanding of reverse ETL, real-time decisioning, and operational analytics use cases, and how they drive value for customer-facing and internal applications.

• Exposure to AI-native and agent-driven applications that depend on low-latency, highly scalable operational data services.

• Prior experience in a high-growth, category-creating environment, helping shape new plays, messaging, and customer narratives.

• Experience collaborating with partners and ISVs to drive joint pipeline and co-sell motions.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our Commitment to Diversity and Inclusion

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We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!

Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

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Our team empowers engineers to understand, troubleshoot, and optimize high-performance infrastructure at massive scale.

As a Senior Software Engineer on the Observability team, you will design, build, and maintain core observability infrastructure spanning metrics, logging, tracing, and telemetry pipelines.

Your day-to-day will involve developing highly reliable and scalable systems, collaborating with internal engineering teams to embed observability best practices, and tackling performance and reliability challenges across clusters of thousands of GPUs.

You'll also contribute to platform strategy and participate in on-call rotations to ensure critical production systems remain robust and operational.

The base salary range for this role is $139,000 to $220,000.

In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

We offer a variety of benefits to support your needs, including medical, dental, and vision insurance, 100% paid for by CoreWeave, company-paid Life Insurance, voluntary supplemental life insurance, short and long-term disability insurance, flexible Spending Account, Health Savings Account, tuition reimbursement, ability to participate in Employee Stock Purchase Program (ESPP), mental wellness benefits through Spring Health, family-forming support provided by Carrot, paid parental leave, flexible, full-service childcare support with Kinside, 401(k) with a generous employer match, flexible PTO, catered lunch each day in our office and data center locations, a casual work environment, and a work culture focused on innovative disruption.

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As a Senior Staff Engineer, you will serve as the connective tissue across Compliance's multi-year strategic initiatives, defining how components fit together, identifying where capabilities can be shared rather than duplicated, and ensuring we leverage platform investments from partner teams.

Your decisions will directly affect how Airbnb meets obligations such as Anti-Money Laundering (AML), Know Your Customer (KYC), and sanctions screening while minimizing operational cost and customer friction.

This role extends well beyond the Compliance organization itself. You will partner directly with cross-organizational engineering teams, as well as cross-functional stakeholders across Product, Content, Legal, and Design.

The technical choices you make carry direct financial and legal exposure , requiring the judgment, depth of expertise, and organizational credibility to drive high-stakes design tradeoffs across team boundaries.

Key responsibilities include:

• Owning the end-to-end system design vision for the Compliance organization, setting the architectural direction for an engineering organization of nearly 30 engineers across multiple teams.
• Driving foundational architectural shifts, including the move from an account-centric model to a customer-centric one , rethinking how we model identity, risk, and enforcement across the platform.
• Leading the technical strategy for expanding KYC capabilities , supporting small and medium businesses, reimagining business onboarding and account structures, enabling KYC through third-party APIs, and extending verification to third-party payees.
• Architecting systems that adapt to the evolving digital identity landscape , including new verification standards, government-issued digital credentials, and shifting privacy regulations , without requiring costly re-platforming.
• Ensuring our technical foundations are flexible enough to absorb unforeseen regulatory mandates with aggressive timelines, without destabilizing existing systems or requiring disproportionate engineering investment.
• Partnering with technical leaders across multiple organizations to drive alignment on shared capabilities and cohesive system design, reducing duplication and compounding technical debt.
• Working closely with Product, Design, Policy, Legal, Operations, and other cross-functional partners as part of a globally distributed team to define and ship impactful features.

Requirements include:

• 15+ years of technical experience, with 10+ years of relevant industry experience in a fast-paced tech environment.
• Prior knowledge of Regulatory Compliance standards (AML, KYC, sanctions screening) and demonstrated experience designing and implementing those controls at scale.
• Proven track record of setting technical direction and architectural strategy for a large engineering organization, with the ability to drive alignment across organizational boundaries.
• Experience designing systems that span multiple teams and domains, with a focus on cohesion, reusability, and long-term maintainability over initiative-by-initiative solutions.
• Excellent communication skills and the ability to influence senior technical and non-technical stakeholders across the company.
• Strong problem solver with deep experience operating and leading on-call for production systems at scale.
• Technical leadership: hands-on experience leading large project teams, making high-stakes design tradeoffs, and translating regulatory requirements into scalable system architectures.
• BS/MS/PhD in Computer Science, a related field, or equivalent work experience.
• Proficiency in one or more back-end server languages (Java/Ruby/Go/C++/etc.)
• Deep understanding of architectural patterns of high-scale web and data applications.
• Be future looking , we might be focused on immediate regulations, but need to build for the long term. You think in terms of platforms, not projects.
• End-to-end ownership mentality that transcends team boundaries, with the credibility and judgment to make decisions that carry direct financial and legal implications.

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Key Responsibilities:

• Build, operate, and scale Kubernetes-based production infrastructure that delivers our products with high reliability and performance.
• Develop automation, tooling, and infrastructure as code in Go and other infrastructure-focused languages to enable zero-touch operations, rapid recovery, and seamless deployments.
• Design, implement, and maintain monitoring, alerting, and observability solutions,leveraging the Grafana ecosystem and related tools,to proactively identify and resolve production issues.
• Drive incident response efforts, participate in on-call rotations, and lead root cause analysis to prevent recurrence and improve incident handling processes.
• Partner with internal and cross-functional teams to ensure platform capabilities meet rigorous operational requirements and customer SLAs.
• Engineer for resiliency, implementing best practices for redundancy, fault tolerance, and disaster recovery across complex distributed systems.
• Advocate for security, reliability, and performance improvements throughout the stack, continuously seeking opportunities to strengthen operational standards.
• Contribute to the development of custom Kubernetes operators and intelligent orchestration frameworks that optimize AI workload performance and resource utilization at scale.

Requirements:

• 3+ years of experience in production engineering, SRE, or large-scale infrastructure/platform roles.
• Knowledgeable in Kubernetes administration, container orchestration, and microservices architectures, with a bias for automating every aspect of operations.
• Proven track record managing high-uptime, customer-facing systems in a fast-moving environment, with experience delivering measurable improvements in reliability and performance.
• Experience in monitoring, observability, and incident management using tools like Prometheus, Grafana, Datadog, Splunk, Loki, or VictoriaMetrics.
• Deep understanding of Linux systems and infrastructure-focused programming, especially in Go and Bash.
• Strong analytical skills and ability to troubleshoot complex production issues.
• Excellent communication skills and ability to share knowledge with technical and non-technical stakeholders.

What Success Looks Like:

• Deliver stable, robust, and highly-available systems that consistently meet or exceed uptime and performance targets.
• Champion initiatives that drive automation, reduce operational toil, and increase the efficiency of incident response.
• Actively contribute to a blameless culture of learning, mentoring others in operational best practices and production engineering principles.
• Help CoreWeave maintain industry leadership through flawless execution in supporting demanding, AI-powered workloads at scale.

Why CoreWeave?

• We work hard, have fun, and move fast!
• We're in an exciting stage of hyper-growth that you won't want to miss out on.
• We're not afraid of a little chaos, and we're constantly learning.
• Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

• Be Curious at Your Core
• Act Like an Owner
• Empower Employees
• Deliver Best-in-Class Client Experiences
• Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and enables the development of innovative solutions to complex problems. As we get set for takeoff, the organization's growth opportunities are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $120,000 to $176,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).

What We Offer:

• The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
• In addition to a competitive salary, we offer a variety of benefits to support your needs, including:

• Medical, dental, and vision insurance - 100% paid for by CoreWeave
• Company-paid Life Insurance
• Voluntary supplemental life insurance
• Short and long-term disability insurance
• Flexible Spending Account
• Health Savings Account
• Tuition Reimbursement
• Ability to Participate in Employee Stock Purchase Program (ESPP)
• Mental Wellness Benefits through Spring Health
• Family-Forming support provided by Carrot
• Paid Parental Leave
• Flexible, full-service childcare support with Kinside
• 401(k) with a generous employer match
• Flexible PTO
• Catered lunch each day in our office and data center locations
• A casual work environment
• A work culture focused on innovative disruption

Our Workplace:

• While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration.

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As a senior engineering leader, you will build and lead high-performing engineering teams responsible for designing scalable infrastructure, developer tools, and user-facing systems that enable creative professionals to run complex production workloads in the cloud. You will collaborate closely with product, design, infrastructure, and customer teams to translate real-world production workflows into reliable, high-performance software platforms.

This role combines deep engineering leadership with domain expertise in M&E workflows, ensuring that the platform delivers exceptional performance, reliability, and usability for demanding creative workloads.

Leadership & Strategy

-Build and scale high-performing engineering teams focused on cloud platforms for media production workloads including rendering, simulation, and content processing. -Recruit, mentor, and develop engineering managers and senior engineers while fostering a culture of innovation, accountability, and collaboration. -Define and execute the long-term engineering strategy for Media & Entertainment products and services. -Partner with Product and Design leaders to translate industry workflows and customer needs into scalable platform capabilities. -Establish engineering best practices for reliability, security, observability, and operational excellence. -Drive roadmap alignment between engineering initiatives and strategic business objectives.

Technical Leadership

-Lead the design and development of scalable backend services, APIs, and developer interfaces that power M&E cloud workflows. -Build platforms that support demanding workloads such as rendering, asset processing, and distributed compute pipelines. -Drive architecture decisions for cloud-native systems leveraging technologies such as Kubernetes, distributed services, and infrastructure-as-code. -Ensure the platform enables self-service provisioning, automation, and repeatable workflows for production pipelines. -Establish engineering standards around performance, scalability, and security for enterprise-grade SaaS/PaaS systems. -Oversee system reliability and operational readiness through clear SLOs, monitoring, and runbook-driven on-call practices.

Product & Workflow Collaboration

-Work closely with product leadership to define technical requirements aligned with real customer workflows in animation, VFX, and media production. -Engage directly with studios, artists, and technical directors to understand pipeline challenges and incorporate feedback into product development. -Translate industry needs into clear engineering priorities and technical roadmaps. -Guide development teams through product milestones including specification, development, testing, and release. -Ensure engineering efforts balance customer requirements, technical feasibility, and business goals.

Customer and industry collaboration is critical in identifying workflow needs and transforming them into actionable development plans for engineering teams.

Operational Excellence

-Implement engineering processes that support scalable development, including CI/CD pipelines, testing strategies, and code review standards. -Manage development timelines and resource allocation across multiple engineering teams. -Track key operational and customer metrics including performance, reliability, and cost efficiency. -Drive continuous improvement in engineering productivity and system performance. -Partner with QA, support, and customer success teams to ensure high-quality releases and strong user satisfaction.

Who You Are:

Required Qualifications

-10+ years of software engineering experience, including leadership of engineering teams and managers -Proven experience building and scaling cloud-based platforms or distributed systems. -Strong understanding of cloud infrastructure, microservices architecture, and automation technologies. -Experience delivering enterprise SaaS or PaaS products used by external customers. -Excellent leadership, communication, and cross-functional collaboration skills. -Ability to operate strategically while remaining deeply technical and hands-on with architecture decisions.

Preferred Qualifications

-Experience building platforms or tools for Media & Entertainment workflows such as VFX, animation, rendering, or post-production pipelines. -Familiarity with industry tools such as Maya, Houdini, Katana, Cinema 4D, V-Ray, Arnold, or RenderMan. -Experience designing APIs, developer platforms, or automation frameworks used by technical users. -Knowledge of GPU-accelerated compute workloads and distributed rendering systems. -Experience working with Kubernetes, infrastructure-as-code, and large-scale cloud environments.

What Success Looks Like

-Engineering teams delivering reliable, scalable platforms used by media studios and creative teams globally. -Clear alignment between product vision, customer workflows, and engineering execution. -Platforms capable of supporting large-scale production workloads with high performance and reliability. -Strong engineering culture focused on innovation, collaboration, and operational excellence.

Wondering if you’re a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams – even if you aren't a 100% skill or experience match.

Why CoreWeave?

At CoreWeave, we work hard, have fun, and move fast! We’re in an exciting stage of hyper-growth that you will not want to miss out on. We’re not afraid of a little chaos, and we’re constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:

-Be Curious at Your Core -Act Like an Owner -Empower Employees -Deliver Best-in-Class Client Experiences -Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!

The base salary range for this role is $206,000 to $303,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation.

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta's Business Technology organisation builds secure and intelligent internal platforms that power our global workforce. Our AI & Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.

We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals , all with scale, governance, and user experience in mind.

The Opportunity

As a Senior Software Engineer, Applied AI, you'll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers.

You'll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.

What You'll Do

• Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.

• Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.

• Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.

• Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue , with a focus on usability, performance, and trust in AI outputs.

• Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily 'drop in' GenAI capabilities into their own applications.

• Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).

• Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).

• Ensure security, privacy, observability, and test coverage across the full stack.

• Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.

• Partner with platform and infrastructure teams to ensure services scale reliably across the org.

What You'll Bring

• 5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.

• Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.

• 2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.

• Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.

• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).

• Familiarity with secure coding, authentication/authorisation, and internal data governance best practices.

• Ability to collaborate across engineering, design, and product teams , with a strong sense of user empathy and technical ownership.

• Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.

Why Join Okta

• Make AI Real: Design and build AI-powered apps used daily by Okta employees.

• Full-Stack Challenge: Tackle end-to-end problems , from LLM orchestration to intuitive UIs.

• Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.

#LI-MK1

#LI-hybrid

P24739_3355024

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Design, build, and deploy complex distributed systems. Build 3rd party integrations with major conference providers using SDKs.

7+ years of software development experience using Python. Proven experience with distributed systems software design. Good knowledge of RESTful API Standards. Proven experience in distributed microservices development. Experience with cloud-based infrastructure (AWS/GCP). Knowledge of industry best practices for package management, and their release cycles (CI/CD). Experience with NoSQL (Mongo/Elastic Search) and SQL. High personal and leadership skills. Strong communication skills (English).

If you are in charge, take initiative, get stuff done individually, we want to talk to you!

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Your primary responsibilities will include designing and building end-to-end GenAI-powered applications, implementing and integrating LLM-based experiences, defining and implementing operational excellence standards, developing responsive and accessible frontend interfaces, and ensuring security, privacy, and test coverage across the full stack.

To be successful in this role, you will need strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers. You will also need to collaborate with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.

In addition to your technical skills, you will need to have excellent communication and teamwork skills, with a strong sense of user empathy and technical ownership. You will also need to be able to contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.

If you are a motivated and experienced software engineer with a passion for AI and automation, we encourage you to apply for this exciting opportunity.

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This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission.

As a Senior Site Reliability Engineer, you'll join our SRE team based in Europe to ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth. This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness.

You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

Key Responsibilities:

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

Requirements:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

We're looking for someone who is not just looking for a job, but a career-defining opportunity to tackle complex challenges at a massive scale. If you're a curious and motivated engineer who's passionate about building reliability directly into the platform, we'd love to hear from you.

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You'll contribute production-quality code in languages like Go and Python, while improving system reliability through enhanced monitoring, alerting, and incident response practices.

Day to day, you'll collaborate with cross-functional engineering teams to implement observability best practices, support production systems, and help optimize performance across large-scale infrastructure.

You will also participate in on-call rotations and contribute to continuous improvements based on real-world system behavior.

CoreWeave is looking for a talented software engineer to join our Observability team. You will be responsible for designing, building, and maintaining scalable systems that process and surface telemetry data across distributed environments.

The ideal candidate will have experience with Go and Python, as well as a strong understanding of system reliability and observability best practices.

In addition to your technical skills, you should be able to collaborate effectively with cross-functional teams and communicate complex technical concepts to non-technical stakeholders.

If you're passionate about building scalable systems and improving system reliability, we'd love to hear from you!

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As part of a global AI engineering team spanning the US and India, you'll provide technical leadership, write hands-on code, and mentor peers while shaping platform capabilities that empower applied AI use cases across Okta.

Responsibilities:

• Design and develop platform services for AI agents, including orchestration, lifecycle management, observability, and guardrails.
• Collaborate daily with US counterparts to align on architecture, share roadmaps, and ensure global consistency.
• Build scalable APIs, frameworks, and reusable components that enable teams to rapidly create and deploy secure AI agents.
• Contribute to monitoring, evaluation, and governance features that make AI adoption safe, reliable, and enterprise-ready.
• Partner with Applied AI engineers, product managers, and designers to ensure the platform supports real-world use cases.
• Mentor engineers within the India team, raising the bar on technical craftsmanship and platform design.
• Stay current with advances in agentic AI, orchestration frameworks, and enterprise AI infrastructure.

Requirements:

• 8+ years of software engineering experience, with at least 3+ years in AI/ML platforms or intelligent automation.
• 5+ years in modern frontend frameworks (e.g., React, Vue) with the ability to build functional UI components, integrate APIs, and maintain design consistency.
• Knowledge on Python preferred, Java, Node.js, or Go.
• Expertise in AI agent frameworks (LangGraph preferred), orchestration systems, vector databases, RAG pipelines, and monitoring/observability.
• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).
• Experience building secure, enterprise-grade infrastructure for AI or ML workloads.
• Ability to influence architecture decisions, align with a global team, and set technical direction locally.
• Strong communication and collaboration skills to work effectively across time zones and global teams.

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As a Staff Software Engineer on the Imports Platform team, you will be a technical leader who independently owns projects end-to-end, from ideation and architectural design through implementation, deployment, and operational excellence. You will drive technical strategy, make critical architectural decisions, and influence both your immediate team and cross-team initiatives.

You will work on complex distributed systems challenges including massive-scale batch processing, real-time synchronization, and user matching algorithms that serve thousands of enterprise customers. This role requires strong technical leadership, strategic thinking, and the ability to balance short-term delivery with long-term platform health.

You will mentor senior and junior engineers, partner with Product Management on feature strategy, and help shape the future of Okta's Imports platform. This is a hybrid position requiring a blend of remote and in-office collaboration.

Responsibilities:

• Provide technical leadership on major development projects, including architectural design and implementation strategy
• Independently own and deliver projects end-to-end within the team, including technical prioritization and tradeoffs
• Generate design ideas and solutions for ambiguous problems, taking complete ownership from conception through production impact
• Design and architect core, high-performance, scalable software components with full ownership of all production aspects (scalability, reliability, monitoring, alerting, resource efficiency, testing, documentation)
• Lead technical design discussions and guide the team in making architectural decisions
• Drive the migration strategy from monolithic to microservices architecture, including planning, scoping, and execution
• Interface extensively with cross-functional teams (Architects, QA, Product, Technical Support, Documentation, UX, and SRE) to deliver comprehensive import and sync solutions
• Analyze and refine requirements with Product Management, partnering on product features and helping define the 'how'
• Conduct code reviews with focus on systems design, reliability, performance, scalability, security, and maintainability
• Share knowledge widely, coordinate across teams, and manage risk and dependencies for projects
• Work with QA and SRE teams to define comprehensive testing strategies and operational excellence practices
• Independently troubleshoot complex production incidents spanning the home team, perform root cause analysis, and drive operational improvement projects
• Use data and metrics to drive technical decisions and validate the impact of architectural changes
• Mentor and provide technical guidance to senior and junior engineers on the team
• Help resolve difficult customer issues and work closely with Field teams and CSMs to identify patterns and drive product improvements
• Participate in group strategy discussions and help break down strategic initiatives into actionable technical milestones
• Proactively identify and advocate for improvements in team velocity, engineering practices, and operational processes
• Drive improvements in observability, monitoring, and production support capabilities

Required Knowledge, Skills, and Abilities:

• 7+ years of software development experience building highly-reliable, mission-critical software at scale
• Deep expertise with object-oriented languages, particularly Java, with proven ability to architect large-scale systems
• Expert-level knowledge of Spring Boot framework, Maven, and modern Java development practices
• Deep understanding of infrastructure-level technologies: distributed systems, caching strategies, stream processing, resilient architectures
• Solid experience with data stores including relational databases (MySQL), caching layers (Redis), and cloud storage (S3)
• Experience with one or more Directory services: Active Directory, LDAP, Office 365, Azure AD
• Strong experience with RESTful APIs, gRPC, and microservices architecture patterns
• Proven track record of working with systems at massive scale, including batch processing and real-time sync capabilities
• Experience with cloud platforms (AWS, GCP) including services like SQS, S3, and multi-region architectures
• Strong understanding of distributed job processing, message queues, and event-driven architectures
• Demonstrated ability to lead technical projects independently and influence cross-team initiatives
• Excellent communication skills with ability to share information widely and coordinate across teams
• Strong mentorship capabilities with experience guiding senior and junior engineers
• Customer-focused mindset with experience working with Field teams to resolve complex issues
• Strategic thinking ability to participate in and contribute to platform strategy
• Experience with operational excellence including incident management, root cause analysis, and driving systemic improvements

Nice to Haves:

• Experience with Protocol Buffers (Protos) and building event-driven systems
• Experience with server-side technologies including advanced caching, asynchronous processing, multi-threading, and concurrency patterns
• Experience in Test-Driven Development (TDD) and automated testing strategies
• Deep knowledge of Identity and Access Management protocols and technologies: OAuth, OpenID Connect, SAML, SCIM, LDAP
• Experience with Microsoft Azure management APIs, Microsoft Graph API, Office 365, or ADFS
• Experience automating and deploying large-scale production services in AWS, GCP, or similar cloud platforms
• Experience with feature flag frameworks and gradual rollout strategies for large-scale migrations
• Understanding of user matching, correlation algorithms, and identity resolution at scale
• Experience with observability platforms, creating comprehensive monitoring and alerting strategies
• Experience migrating monolithic applications to microservices architecture
• Knowledge of data modeling for graph databases and relationship management
• Experience with incremental sync, delta detection, and change data capture patterns
• Background in building resilient systems with retry logic, circuit breakers, and failure handling
• Experience with performance optimization and capacity planning for high-throughput systems

Education and Training:

B.S. Computer Science or related field

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Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organisations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

Okta's Business Technology organisation builds secure and intelligent internal platforms that power our global workforce. Our AI & Automation team is delivering next-generation tools and experiences by integrating GenAI and intelligent automation into workflows across IT, HR, Finance, Sales, Marketing and Customer Support.

We focus on real-world applications: virtual agents, AI copilots, internal RAG services, and AI-augmented self-service portals , all with scale, governance, and user experience in mind.

The Opportunity

As a Senior Software Engineer, Applied AI, you'll play a key role in building user-facing and backend systems that leverage GenAI to improve internal experiences and operations. This role requires strong full-stack engineering skills, with an emphasis on both AI integration and building intuitive, performant UIs that make AI accessible and useful to our internal customers.

You'll work closely with software engineers, product managers, and designers to build secure, intelligent tools for employees across Okta.

What You'll Do

• Design and build end-to-end GenAI-powered applications, including web-based UIs, API services, and backend orchestration.

• Implement and integrate LLM-based experiences using frameworks like LangChain, LlamaIndex, and tools like OpenAI, Claude, or Gemini.

• Define, implement, and champion operational excellence standards (SLOs, observability, incident response frameworks) for all services deployed.

• Develop responsive, accessible, and modern frontend interfaces using frameworks like React or Vue , with a focus on usability, performance, and trust in AI outputs.

• Build and maintain a library of reusable frontend components and hooks that allow other business delivery teams to easily 'drop in' GenAI capabilities into their own applications.

• Build and maintain retrieval-augmented generation (RAG) pipelines with vector search and embedding strategies (e.g., Pinecone, FAISS, Qdrant).

• Collaborate with designers and product managers to rapidly iterate on UX patterns for AI-powered experiences (e.g., prompt inputs, citations, summaries).

• Ensure security, privacy, observability, and test coverage across the full stack.

• Contribute to architecture decisions, engineering standards, and best practices for AI/automation systems.

• Partner with platform and infrastructure teams to ensure services scale reliably across the org.

What You'll Bring

• 5–8 years of software engineering experience with full-stack development, including 2+ years of building AI/ML-driven applications.

• Strong Python development skills and 5+ years experience building cloud-based services using AWS, Docker, and RESTful APIs.

• 2+ years of experience in frontend technologies like React, TypeScript, or Vue, and comfort working on UI/UX for internal tools or enterprise applications.

• Hands-on experience with LLM integration, RAG pipelines, prompt engineering, or orchestration frameworks like LangChain or LlamaIndex.

• Strong background in distributed systems, APIs, microservices, container orchestration (ECS/EKS), and cloud platforms (AWS/GCP/Azure).

• Familiarity with secure coding, authentication/authorisation, and internal data governance best practices.

• Ability to collaborate across engineering, design, and product teams , with a strong sense of user empathy and technical ownership.

• Bonus: Exposure to design systems, AI evaluation tooling, or real-time application performance monitoring.

Why Join Okta

• Make AI Real: Design and build AI-powered apps used daily by Okta employees.

• Full-Stack Challenge: Tackle end-to-end problems , from LLM orchestration to intuitive UIs.

• Trusted Innovation: Join a team committed to security, ethics, and technical excellence in AI.

#LI-MK1

#LI-hybrid

P24739_3355024

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At Coinbase, our mission is to increase economic freedom in the world.

We are seeking a Staff Software Engineer to lead the front-end technical strategy for our advanced trading platform, Coinbase Advanced.

This role is designed for a technical leader who can drive significant performance improvements across our web and mobile clients while mentoring a growing team of engineers.

As a Staff Software Engineer, you will collaborate with Product and Engineering leadership to define and execute a technical roadmap for a reliable, scalable trading platform.

You will lead the technical initiative to deliver a low latency interface for experienced traders across all platforms.

You will provide technical guidance and career mentorship to engineers.

You will anchor complex projects and ensure high standards for code quality and system design.

We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system.

We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up.

We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone.

But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only.

In-person participation is required throughout the year.

Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment.

Attendance is expected and fully supported.

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At Coinbase, our mission is to increase economic freedom in the world.

We’re seeking a Staff Software Engineer to technically lead the Tax Engineering team within the Consumer Product Group.

Tax Engineering sits at the intersection of every trade, every payment, and every product Coinbase ships on the hot path.

As the Staff Software Engineer on the team you'll define multi-quarter technical strategies, build systems with stringent correctness and scalability requirements, and set the technical direction for how Coinbase handles one of the most complex domains in financial services.

Ownership & impact

In this role, you will:

• Own the architecture and evolution of real-time and offline systems that calculate, track, and report taxes for crypto transactions at scale , ensuring correctness, low latency, and 24x7 availability.

• Define multi-quarter technical strategies for the Tax Platform, identifying opportunities to simplify complexity, improve reliability, and expand capabilities as Coinbase launches new asset types and products.

• Architect and build distributed systems that power tax calculation engines, cost basis tracking, and tax reporting APIs , serving millions of customers with strict accuracy requirements.

• Lead technical design and code reviews, setting standards for quality, performance, and maintainability across the team.

• Mentor engineers and elevate the technical bar.

• Partner cross-functionally with product, data, compliance, and frontend teams to deliver tax features that meet regulatory requirements and delight customers , from annual tax reports to real-time gain/loss calculations.

• Drive operational excellence by owning system reliability, incident response, and performance optimization for critical tax infrastructure that operates at the scale and speed of crypto markets.

Minimum qualifications

• 8+ years of experience in software engineering, with significant experience architecting and developing solutions to ambiguous, high-impact problems.

• Proven track record designing, building, scaling, and maintaining production-level distributed systems with stringent correctness and availability requirements.

• Strong experience with backend languages (e.g., Go, Python, or similar) and modern infrastructure patterns including microservices, event-driven architectures, and REST/GraphQL API design.

• Deep expertise in data-intensive systems , experience with Kafka, Clickhouse, or similar tools for real-time and batch processing at scale.

• Demonstrated technical leadership: leading large projects with long-term impact, mentoring engineers, and driving alignment across teams on technical strategy.

• Excellent judgment on prioritization and the ability to break down ambiguous problems into actionable technical plans.

• Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.

Nice to haves

• Experience with tax systems, cost basis engines, 1099 reporting, or financial compliance infrastructure.

• Familiarity with equities, options, or margin trading or strong interest in learning trading/brokerage domains.

• Background at a tech-focused company (fintech, crypto, high-growth startup) rather than traditional finance.

Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

Annual base salary range (excluding equity and bonus):

$217,900-$217,900 CAD

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We are looking for a Senior Site Reliability Engineer to join our SRE team based in Europe. As a Senior Site Reliability Engineer, you'll ensure our production systems are not only operational but also resilient, scalable, and ready for exponential growth.

This isn't just about keeping the lights on; it's about directly contributing to the platform's core resiliency and robustness. You'll be a hands-on builder, crafting solutions that make our system more reliable by design.

Responsibilities

• Design and build custom software in Go to enhance the platform's reliability, resiliency, and redundancy.
• Partner with engineering teams to embed reliability principles, improving the availability, performance, and observability of our services.
• Use your deep understanding of infrastructure and observability principles to identify opportunities for improvement within the product and implement solutions.
• Contribute to our on-call rotation, providing rapid, effective response to critical incidents and using your expertise to troubleshoot, mitigate or accurately escalate production issues.
• Develop and refine our SRE tooling and processes, focusing on automation and operational efficiency.
• Define, document, and champion reliability best practices across the organisation.

What you'll need to be successful

This role requires a unique blend of a software engineer's mindset and operational expertise. You'll thrive in this role if you have:

• A proactive and systematic approach to problem-solving, with a high degree of ownership.
• Proven experience in a production environment supporting large-scale, mission-critical applications with a high degree of autonomy.
• Proficiency in at least one programming language, with a preference for Go. You should be comfortable writing custom applications, not just scripts.
• Experience with infrastructure as code (Terraform), container orchestration (Kubernetes, Docker) and GitOps (ArgoCD).
• Demonstrable expertise in a major cloud provider (Azure, AWS, or GCP).
• A strong grasp of microservices architecture, databases (SQL, NoSQL), and networking fundamentals, so you can understand how custom code can solve platform-level issues.
• An understanding of core SRE principles, including SLIs, SLOs, and error budgets.
• Experience in an on-call rotation for a 24/7 cloud-based environment.
• Exceptional communication and collaboration skills, with a proven ability to work effectively in a remote, distributed team, where tasks may be self-driven.

The Okta Experience

• Supporting Your Well-Being
• Driving Social Impact
• Developing Talent and Fostering Connection + Community

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As an Architect in SRE, you will drive the technical strategy, vision and outcomes for Twilio's Reliability Engineering organisation. You will define and lead solutions and initiatives that ensure Twilio products are reliable worldwide, and you will define standards and guide engineering teams on best practices for designing, building, and operating resilient systems.

This role is pivotal to Twilio's commitment to operational excellence, scalability, and pragmatic, large-scale systems design in the cloud.

Responsibilities:

• Partner with senior technical leaders across Twilio to set and communicate the reliability strategy, translating business goals into measurable outcomes.
• Influence company-wide architectural decisions while balancing long-term vision with near-term and compliance needs.
• Lead the design, implementation, and operation of scalable solutions and paved roads that enable reliable, high-traffic services;
• Influence company-wide architectural decisions to focus on availability, performance, resilience, and cost efficiency using Kubernetes, AWS, Terraform, and modern observability.
• Ensure integrity and quality across the service lifecycle; design fault-tolerant architectures, incident response, disaster recovery, and capacity/cost management.
• Collaborate with product and cross-functional teams to identify reliability risks and convert them into actionable designs, programs, and tooling.
• Establish and champion reliability practices and drive systemic improvements.
• Mentor and grow engineers and technical leaders
• Track and apply emerging SRE, cloud, and large-scale systems best practices; introduce pragmatic innovations that improve reliability at scale.

Qualifications:

• 15+ years of experience in Reliability Engineering, Software Engineering, DevOps roles with a focus on infrastructure, backend systems, and reliability, including as a principal/architect.
• Strong experience in driving strategic technical decisions and defining long-term technical vision.
• In-depth understanding of the role of Reliability Engineering in a large and diverse SaaS organisation.
• Experience driving cross-org technical architecture outcomes.
• Knowledge of cloud architecture, devops practices, and large-scale systems design with microservices.
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Strong production experience, including operational management, scaling, partitioning strategies, and tuning for performance and reliability in high-scale environments.
• Hands-on experience with Kubernetes (e.g., EKS), deploying and managing stateful services, and cloud services like AWS.
• Proficiency in infrastructure-as-code tools such as Terraform or CloudFormation for automating infrastructure.
• Expertise in observability tools (e.g., Prometheus, Grafana, Datadog) for monitoring distributed systems and setting up alerting.
• Proficient in at least one programming language (e.g., Go, Python, Java) for building automation and tooling.
• Experience designing incident response processes, SLOs/SLIs, runbooks, and participating in on-call rotations.
• Experience running cross-functional post-incident reviews and driving improvements.
• Strong understanding of distributed systems principles, including consensus, durability, throughput, and availability tradeoffs.
• Proven track record of leading reliability improvements in data-intensive or mission-critical systems and collaborating with engineering teams.
• Excellent problem-solving, analytical, verbal, and written communication skills, with the ability to work in cross-functional and distributed environments.
• Demonstrated leadership in mentoring teams, influencing decisions, and balancing long-term objectives with short-term needs.
• Ability to influence and build effective working relationships with all levels of the organisation.

Desired:

• Specific experience owning and operating large AWS footprints.
• Knowledge of Kubernetes architecture and concepts.
• Experience with data technologies like Apache Kafka, AWS MSK, or similar for reliable streaming.
• Passion for building reliable products, with prior projects in high-availability systems

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The successful candidate will have 15+ years of experience in enterprise software, SaaS, cloud platform, database, or developer platform sales, with 5+ years of experience leading high-performing enterprise sales or specialist teams.

Key responsibilities include:

• Driving revenue growth and building a high-performing team of Lakebase Sales Specialists
• Developing pipeline across application modernization, database consolidation, and operational workload opportunities
• Helping customers replace or consolidate legacy operational databases onto the Databricks platform
• Establishing repeatable sales plays that drive land and expand adoption

The ideal candidate will have a strong understanding of modern application architectures, including APIs, microservices, real-time systems, and distributed applications, as well as experience selling into CIO, CTO, architecture, and platform engineering organizations.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please click here.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

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About the Role: The Application Security team at Anthropic is at the forefront of building security into every phase of the software development lifecycle. As an Application Security Engineer, you will partner closely with software engineers and researchers to ensure that security is a core consideration from initial design through implementation. You will lead threat modeling and secure design reviews to proactively identify and mitigate risks early, and help with continuous risk assessment. You will build tools and systems to support developers shipping code securely, adhering to secure coding best practices.

Responsibilities:

• Help secure AI products and internal tools that are introducing industry-novel security risks and pushing established security boundaries
• Lead “shift left” security efforts to build security into the software development lifecycle
• Conduct secure design reviews and threat modeling. Identify and prioritize risks, attack surfaces, and vulnerabilities
• Develop tooling to scale security code reviews and respond to developer questions, including advising developers on remediating vulnerabilities and following secure coding practices
• Manage Anthropic's vulnerability management program, including integrating data ingestion pipelines, coding logic to prioritize vulnerability fixes, supporting teams remediating vulnerabilities and developing automated systems at scale
• Oversee Anthropic's bug bounty program. Set scope, validate submissions, perform root cause analysis, coordinate remediation with engineering teams, and award bounties. Cultivate relationships with the ethical hacker community
• Collaborate closely with product engineers and researchers to instill security best practices. Advocate for secure architecture, design, and development
• Develop and document security policies, standards, and playbooks. Conduct security awareness training for engineers

Requirements:

• 5+ years of hands-on experience in application and infrastructure security, including securing cloud-based and containerized environments
• Strong proficiency in at least one programming language (e.g., Python, Rust, Go, Java)
• Lead with empathy, a collaborative spirit, and a learning mindset to work cross-functionally with engineers of all levels to build security into the software development life cycle
• Leverage creative and strategic thinking to reduce risk through secure design and simplicity, not just controls
• Possess broad security knowledge to connect the dots across domains and identify holistic ways to decrease the overall threat surface
• Are keen to distill complex security concepts into clear actions and drive consensus without direct authority
• Embody a proactive mindset to thread security throughout the product lifecycle through activities like threat modeling, secure code review, and education
• Have a strong grasp of offensive security to anticipate risks from an adversary's perspective, not just check compliance boxes
• Bring experience with modern application stacks, infrastructure, and security tools to implement pragmatic defenses
• Are practiced at collaborating cross-functionally and effectively balancing security requirements with business objectives
• Advocate for security fundamentals like least privilege, defense-in-depth, and eliminating complexity that could sub-linearly scale security through smart design

Preferred Qualifications:

• Hands-on technical expertise securing complex cloud environments and microservices architectures leveraging technologies like Kubernetes, Docker, and AWS / GCP
• Exposure to offensive security techniques like vulnerability testing, bug bounty, pen testing, and red team exercises
• Familiarity with AI/ML security risks such as prompt injection, data poisoning, model extraction, etc. and mitigations
• Experience building security tools, applications, and automated tools
• Solid foundational knowledge of both software and security engineering principles and are keen to continue learning
• Excellent communication skills, able to distill complex security topics for broad audiences
• Worked and thrived in fast-paced environments, and comfortable navigating ambiguity

Annual Compensation Range:

$300,000-$405,000 USD

Logistics:

• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
• Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position
• Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
• Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How to Apply:

If you're interested in this role, please submit your application through our website. We look forward to reviewing your application!

Note:

Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links,visit anthropic.com/careers directly for confirmed position openings.

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**Responsibilities:"

• Lead and develop a multidisciplinary engineering team, fostering a culture of technical excellence, ownership, and continuous improvement.
• Mentor engineers at all levels, supporting their growth through coaching, feedback, and clear expectations.
• Own the full lifecycle of integrations with PSPs, acquirers, and gateways, from technical design to deployment and production monitoring.
• Drive hands-on technical contribution through architecture design, code reviews, and complex troubleshooting, setting the technical bar for your team.
• Set and enforce best practices across coding standards, testing, observability, and documentation.
• Ensure the team follows secure software development practices, including OWASP standards, data privacy, and compliance requirements.
• Guide architectural decisions for low-latency, high-availability backend systems and microservices.
• Champion an AI-first engineering culture, setting standards for AI-assisted development, code generation, and automated testing, ensuring your team leverages these tools as a default, not an afterthought.

**Cross-functional Execution:"

• Collaborate closely with Product, Compliance, and Business teams in an agile environment to deliver against a fast-moving roadmap.
• Drive the evolution of APIs and integration frameworks that scale across countries and providers.

**Skills Needed:"

• Proven experience managing and growing engineering teams, including hiring, coaching, and performance management.
• Strong ability to drive technical decision-making and manage competing priorities in a fast-moving environment.
• Excellent communication skills to engage with both technical and non-technical stakeholders.
• Solid hands-on backend engineering experience, with proficiency in Golang or similar languages.
• Strong understanding of microservices and event-driven architectures, APIs, and integration patterns.
• Experience with SQL and relational databases.
• Knowledge of secure software development practices and OWASP principles.
• Champion of AI-first development , experience setting standards for AI-assisted coding, automated testing, and code generation using LLMs and tools like Claude Code or similar.
• Experience delivering in agile environments, adapting processes to what actually works for the team.
• Full professional proficiency in English , written and spoken.

**Preferred Qualifications:"

• Experience in the payments industry or with PSP integrations.
• Hands-on Experience in Golang.
• Hands-on experience with cloud and DevOps environments (AWS, Docker, Kubernetes).

**What We Offer at Yuno(Console

• Competitive Compensation.
• Remote Work – You can work from everywhere!
• Home Office Bonus – A one-time allowance to help you create your ideal home office.
• Work Equipment.
• Stock Options.
• Health Plan wherever you are.
• Flexible Days Off.
• Language, Professional, and Personal Growth courses.

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As a Backend Engineer, you will build and maintain the integrations that are core to our product, working across countries, providers, and complex payment rails in a fast-moving, global environment.

Key responsibilities include:

• Building and evolving high-performance APIs and microservices in Go, designed for reliability, low latency, and scale.
• Taking end-to-end ownership of features and integrations , from discovery and design to production rollout and monitoring.
• Developing and extending integration frameworks that support payment processing, fraud detection, and authentication flows (e.g., 3DS) across multiple regions.

We're looking for someone with solid backend engineering experience building high-throughput, production-grade systems in Go, Java, or Kotlin, as well as a strong understanding of microservices and event-driven architectures, APIs, and integration patterns.

If you have experience in the payments industry or integrating with Payment Service Providers, and are comfortable working with AI-assisted development tools, we'd love to hear from you.

At Yuno, culture is a key part of how we operate and scale: we're a fast-paced and global team, operating in a dynamic, fully remote environment across multiple time zones. We offer competitive compensation, remote work, home office bonus, work equipment, stock options, health plan, and flexible days off.

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Your primary focus will be on leading a multidisciplinary team responsible for the full lifecycle of payment integrations, from architecture and development to deployment and production stability. You will mentor engineers at all levels, drive technical decision-making, and ensure the team delivers high-quality solutions that meet business needs.

You will also champion an AI-first engineering culture, establishing standards for AI-assisted development, code generation, and automated testing. Additionally, you will collaborate closely with Product, Compliance, and Business stakeholders to deliver against a fast-moving roadmap in an agile environment.

The ideal candidate will have a solid hands-on backend engineering background, with proficiency in Golang or similar languages. They will also have strong understanding of microservices, event-driven architectures, APIs, and integration patterns, as well as experience with SQL and relational databases.

Key responsibilities:

• Lead and develop a high-performing integrations engineering team, fostering a culture of technical excellence, ownership, and continuous improvement.

• Mentor engineers at all levels through coaching, regular feedback, and clear expectations , supporting their growth as both engineers and professionals.

• Own the full technical lifecycle of integrations with PSPs, acquirers, and gateways: from design and development to deployment and production monitoring.

• Drive hands-on technical contribution through architecture reviews, code reviews, and complex troubleshooting , setting the bar for quality and engineering craft.

• Define and enforce best practices across coding standards, testing, observability, and documentation.

• Guide architectural decisions for low-latency, high-availability backend systems and microservices operating at global scale.

• Champion an AI-first engineering culture, establishing standards for AI-assisted development, code generation, and automated testing , ensuring the team treats these tools as a default, not an afterthought.

• Collaborate closely with Product, Compliance, and Business stakeholders to deliver against a fast-moving roadmap in an agile environment.

• Ensure secure software development practices are embedded across the team, including OWASP standards, data privacy, and compliance requirements.

• Drive the evolution of APIs and integration frameworks that scale across countries and payment providers.

• Bring ideas to solve problems: any idea is better than none.

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Your responsibilities will include engaging in all phases of the software lifecycle - design, implement, test, deploy, and support services in production. You will maintain a culture of code quality through rigorous testing, automation, and code reviews. You will also be proactive and innovative, relying on your feedback to build a world-class product.

We are looking for a candidate with deep hands-on expertise in Java and the Spring Framework, strong practical experience working with Kafka, and solid understanding and hands-on experience working with cloud-native architecture, microservices, CI/CD, GitOps, APIs, and API Gateway. You should also have strong experience implementing and leveraging Observability solutions, strong written and verbal communication skills, and bonus points if you have familiarity with the payment processing ecosystem.

In addition to a competitive salary, you will receive flexible work hours, flexible PTO, competitive health benefits, VGS stock options, 401k plan with employer matching, life and disability insurance, pre-tax flexible spending accounts, global parental leave program, employee assistance program, home internet reimbursement, new hire home office set-up allowance, and professional learning reimbursement.

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As a Principal Engineer, you will:

• Collaborate and communicate with Payments Engineering teams to design, develop, and champion best-practices, patterns, and standards for all payments applications.
• Work closely with our CTO and other architects to create holistic technology solutions for our customers.
• Be part of the Tech Leads group, driving measurable outcomes and iterative delivery strategy, removing roadblocks, empowering others, and mentoring high-potential engineers.
• Produce clear, detailed, and actionable design documents, architecture blueprints, architectural decisions with context, decision, and tradeoffs.
• Be involved in hands-on development of proof-of-concepts, prototypes, and real production-ready code.
• Mentor engineers on architecture best practices and standards.
• Engage in all phases of the software lifecycle - design, implement, test, deploy, and support services in production.
• Maintain a culture of code quality through rigorous testing, automation, and code reviews.
• Be proactive and innovative - we rely on your feedback to build a world-class product.

We're seeking individuals with an equal flair for creative problem-solving, enthusiasm for new technologies, and a desire to contribute to our product. You will likely be successful in this role if you identify with the following traits: attention to detail, problem solver, customer-oriented, versatile, resilient, and confident.

If all of this sounds interesting to you, we'd love to hear from you.

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Your work will directly shape what users experience: designing APIs that serve rich content, building services that handle real-time interactions, implementing content-matching systems for rights and safety, and ensuring our platform performs under load. You'll architect systems that are fast, correct, and maintainable.

You'll collaborate closely with Product, ML Research, and Mobile/Web teams to ship features that matter. We use Python, Go, BigQuery, Pub/Sub, and a microservices architecture,but we care more about good judgment than specific tool experience.

Responsibilities

• Design and maintain application-level data models that organize rich content into canonical structures optimized for product features, search, and retrieval.
• Build high-reliability ETLs and streaming pipelines to process usage events, analytics data, behavioral signals, and application logs.
• Develop data services that expose unified content to the application, such as metadata access APIs, indexing workflows, and retrieval-ready representations.
• Implement and refine fingerprinting pipelines used for deduplication, rights attribution, safety checks, and provenance validation.
• Own data consistency between ingestion systems, application surfaces, metadata storage, and downstream reporting environments.
• Define and track key operational metrics, including latency, completeness, accuracy, and event health.
• Collaborate with Product teams to ensure content structures and APIs support evolving features and high-quality user experiences.
• Partner with Analytics and Research teams to deliver clean usage datasets for experimentation, model evaluation, reporting, and internal insights.
• Operate large analytical workloads in BigQuery and build reusable Dataflow/Beam components for structured processing.
• Improve reliability and scale by designing robust schema evolution strategies, idempotent pipelines, and well-instrumented operational flows.

Requirements

• Experience building production backend services and APIs at scale
• Experience building ETL/ELT pipelines, event processing systems, and structured data models for applications or analytics
• Strong background in data modeling, metadata systems, indexing, or building canonical representations for heterogeneous content
• Proficiency in Python, Go, SQL, and scalable data-processing frameworks (Dataflow/Beam, Spark, or similar)
• Familiarity with BigQuery or other analytical data warehouses and strong comfort optimizing large queries and schemas
• Experience with event-driven architectures, Pub/Sub, or Kafka-like systems
• Strong understanding of data quality, schema evolution, lineage, and operational reliability
• Ability to design pipelines that balance cost, latency, correctness, and scale
• Clear communication skills and an ability to collaborate closely with Product, Research, and Analytics stakeholders

Nice to Have

• Experience building application-facing APIs or microservices that expose structured content
• Background in information retrieval, indexing systems, or search infrastructure
• Experience with fingerprinting, perceptual hashing, audio similarity metrics, or content-matching algorithms
• Familiarity with ML workflows and how downstream analytics and usage data feed back into research pipelines
• Understanding of batch + streaming architectures and how to blend them effectively
• Experience with Go, Next.js, or React Native for occasional full-stack contributions

Why Join Us

You will design the core data services and pipelines that power our product experience, analytics, and business operations. You’ll work on high-impact data challenges involving real-time signals, large-scale metadata systems, and cross-platform consistency. You’ll join a small, fast-moving team where you’ll shape the structure, reliability, and intelligence of our downstream data ecosystem.

Benefits

• Highly competitive salary and equity
• Quarterly productivity budget
• Flexible time off
• Fantastic office location in Manhattan
• Productivity package, including ChatGPT Plus, Claude Code, and Copilot
• Top-notch private health, dental, and vision insurance for you and your dependents
• 401(k) plan options with employer matching
• Concierge medical/primary care through One Medical and Rightway
• Mental health support from Spring Health
• Personalized life insurance, travel assistance, and many other perks

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We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use. Plaid's network covers 12,000 financial institutions across the US, Canada, UK and Europe.

The AI Applications Team You will have the opportunity to join as one of the founding members of this newly formed team that is dedicated to consolidating and rapidly scaling our successful bets so far, and grow with the team in our quest to accelerate Plaid's transformation into an AI-first company.

In this role you will lead projects that enable and scale our business with our largest AI customers and partners, starting with personal finance use cases and expanding into many others; examples include:

• Develop and evolve the preferred integration pattern for Plaid with AI providers - from API adaptations to building the official Plaid MCP Servers, and beyond

• Redefine how Plaid's consumer link experience embed into conversational interfaces in the most seamless way

• Architect the trust layer for the future of agentic commerce that will become the industry standard

Additionally you will be expected to scale and extend our existing successful bets on AI-powered customer experience; examples include:

• Make the next step-function improvement in our homegrown customer support agent

• Land our multi-turn and multi-agent system that powers a truly delightful experience for our customers; define how to scalably run offline evaluation for complex multi-turn open-ended tasks; research and prototype how Human-In-The-Loop - Reinforcement Learning (RLHF) can power an insights flywheel; pioneer the architecture for customer-specific long-term memory, etc.

• Extend our agentic system to support other critical parts of the customer journey, starting with areas with the highest ROI - top-of-funnel product recommendation, customer onboarding and risk diligence, customer activation and assistance for faster productionization, as well as upselling and cross-selling of Plaid products

You will have a front row seat to all the latest industry developments. Over time, with the skills and experience you develop and hone on this team, you can become an influential voice in defining where AI < Fintech will be heading longer term.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features

• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact

• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches

• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Requirements

• Experience building backend services and working with microservices or service-oriented architectures

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences

• Hands-on experience working with LLMs to build products and shipping them to product with iterating with real user feedback - including but not limited to:

• Prompt engineering

• Fine-tuning

• Retrieval augmented generation (RAG)

• Semantic search

• Vector database and embedding models

• Agent orchestration framework

• Evaluation and monitoring framework of open-ended tasks

• Streaming and SSE

• Common UX and design patterns for GenAI-powered products

• Strong debugging and monitoring experience for production systems

• Ability to deeply understand customer and user needs through user research and rapid experimentation - be your own technical PM

• Ability to balance divergent thinking (exploring possibilities) with convergent thinking (evaluating feasibility), which is critical for driving 0 ->1 projects

• Extremely curious and passionate about working in GenAI applications space

Nice-to-Haves

• Experience training and/or serving ML models in production, or fine-tuning LLMs for domain-specific use cases

• Comfortable operating in privacy/PII-sensitive environments and applying compliance mitigations

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As a Software Engineer at Plaid, you will play a key role in designing and developing backend services with a focus on performance, reliability, and scalability. You will work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.

Responsibilities:

• Design and develop backend services with a focus on performance, reliability, and scalability
• Collaborate with product managers and other stakeholders to define and implement new features
• Write clean, maintainable, and efficient code
• Develop automated tests to ensure the quality and reliability of the codebase
• Troubleshoot and resolve issues

Qualifications:

• 5+ years of experience with extensive experience in software engineering with a proven track record of shipping successful projects
• Experience with MySQL or other relational databases
• Experience working with microservices
• Excellent coding, testing, and system design skills
• Prior experience with cross-functional collaboration, communication, and project management skills
• Demonstrated leadership skills and the ability to mentor and guide junior engineers
• Ability to work with operations, product, design, and data science

Additional Information:

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

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Responsibilities:

• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack.
• Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience.
• Follow software design and development best practices and promote such practices in the team.
• Document design choices and operational knowledge to successfully deploy and run services.
• Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Requirements:

• 7+ years of professional experience working on backend systems in an enterprise environment
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Experience with LLMs is a plus
• Experience with large-scale data processing (Spark) is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

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In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs.

We value ownership highly , the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team.

Responsibilities:

• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack.
• Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience.
• Follow software design and development best practices and promote such practices in the team.
• Document design choices and operational knowledge to successfully deploy and run services.
• Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Requirements:

• 7+ years of professional experience working on backend systems in an enterprise environment
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Experience with LLMs is a plus
• Experience with large-scale data processing (Spark) is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

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In addition, you will collaborate across Engineering and R&D teams to enhance core Admin Platform services such as authentication, users, settings, and configurations. You will leverage customer insights and data analysis to design and build high-performance, low-latency systems and APIs that scale efficiently while improving our operational costs.

We value ownership highly , the ability to take an idea through all the stages from conception to shipping a product. This reflects throughout our company, but is especially true in engineering. As an engineer at People.ai, you'll be a part of a highly independent and autonomous team.

Responsibilities:

• Take ownership of projects. From requirements gathering, through design, implementation and testing, to monitoring and maintenance throughout the tech stack.
• Collaborate within the team, with other engineering teams and cross-functionally to enhance our users’ experience.
• Follow software design and development best practices and promote such practices in the team.
• Document design choices and operational knowledge to successfully deploy and run services.
• Ensure code accuracy and efficiency with appropriate test coverage, integration testing and load testing.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.

Requirements:

• 7+ years of professional experience working on backend systems in an enterprise environment
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps, including messaging brokers, in-memory storage, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Experience with LLMs is a plus
• Experience with large-scale data processing (Spark) is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

As a Software Engineer at Plaid, you will be responsible for designing and developing backend services with a focus on performance, reliability, and scalability. You will work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.

Responsibilities:

• Design & Development: Build and maintain backend services with a focus on performance, reliability, and scalability.
• Collaboration: Work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.
• Code Quality: Write clean, maintainable, and efficient code.
• Testing & Debugging: Develop automated tests to ensure the quality and reliability of the codebase. Troubleshoot and resolve issues.
• Engage in hands-on coding and architectural design, setting and maintaining high technical standards for a high-performing team.
• Grow the team via mentorship and leadership, reviewing technical documents and code changes.

Qualifications:

• 5+ years of experience with extensive experience in software engineering with a proven track record of shipping successful projects.
• Experience with MySQL or other relational databases.
• Experience working with microservices.
• Excellent coding, testing, and system design skills.
• Prior experience with cross-functional collaboration, communication, and project management skills.
• Demonstrated leadership skills and the ability to mentor and guide junior engineers.
• Ability to work with operations, product, design, and data science.

Additional Information:

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

XML job scraping automation by YubHub

As a Software Engineer at Plaid, you will be responsible for designing and developing backend services with a focus on performance, reliability, and scalability. You will work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.

Responsibilities:

• Design & Development: Build and maintain backend services with a focus on performance, reliability, and scalability.
• Collaboration: Work closely with product managers and other stakeholders to define and implement new features that meet product and customer needs.
• Code Quality: Write clean, maintainable, and efficient code.
• Testing & Debugging: Develop automated tests to ensure the quality and reliability of the codebase. Troubleshoot and resolve issues.
• Engage in hands-on coding and architectural design, setting and maintaining high technical standards for a high-performing team.
• Grow the team via mentorship and leadership, reviewing technical documents and code changes.

Qualifications:

• 5+ years of experience with extensive experience in software engineering with a proven track record of shipping successful projects.
• Experience with MySQL or other relational databases.
• Experience working with microservices.
• Excellent coding, testing, and system design skills.
• Prior experience with cross-functional collaboration, communication, and project management skills.
• Demonstrated leadership skills and the ability to mentor and guide junior engineers.
• Ability to work with operations, product, design, and data science.

Additional Information:

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable. We recognize that strong qualifications can come from both prior work experiences and lived experiences. We encourage you to apply to a role even if your experience doesn't fully match the job description.

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Plaid powers the tools millions of people rely on to live a healthier financial life. We work with thousands of companies like Venmo, SoFi, several of the Fortune 500, and many of the largest banks to make it easy for people to connect their financial accounts to the apps and services they want to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.
• Work with other AI engineers, software engineers and machine learning engineers to architect, design and implement GenAI-powered products and features
• Collaborate across functions to understand user needs, propose and implement AI-powered solutions where they’re expected to have the highest impact
• Design and execute rapid experiments to push the boundaries on potential business impact from emerging AI capabilities, with a focus on minimal viable testing approaches
• Balance creative exploration of possibilities with rigorous evaluation of technical feasibility, product potential and business impact

Qualifications

• Experience building backend services and working with microservices or service-oriented architectures
• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences
• Strong software engineering fundamentals, including system design and API development
• Hands-on experience building and shipping LLM-powered products, iterating with real user feedback
• Practical experience with prompt engineering, fine-tuning, RAG, semantic search (vector databases and embeddings), agent orchestration frameworks, and evaluation/monitoring of open-ended tasks
• Experience building GenAI-powered product experiences, including streaming/SSE and common UX patterns
• Strong debugging and production monitoring experience
• Ability to deeply understand customer needs through user research and rapid experimentation; comfortable operating as a technical PM when needed
• Ability to balance divergent exploration with pragmatic execution, especially in 0 to 1 environments
• Deep curiosity and passion for building GenAI applications

Nice to Have

• Experience training and deploying ML models in production, including fine-tuning LLMs for domain-specific use cases
• Comfortable operating in privacy- and PII-sensitive environments, with experience applying appropriate compliance and data protection controls

XML job scraping automation by YubHub

As a Fullstack Software Engineer, you will design and build the systems and experiences that power how millions of people connect to their finances. You will work across the stack, building scalable backend services and APIs while also crafting intuitive, high-quality frontend experiences that bring those systems to life.

This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

At Plaid, engineers take ownership early, contribute to architectural decisions, and see their work reach millions of users.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.

• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.

• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.

• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.

• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features

• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences

• Solid system design, coding, and testing skills across both frontend and backend

• Proven ability to collaborate effectively with product, design, and other engineering partners

• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership

• Comfortable working across product, operations, and data teams to deliver end-to-end solutions

XML job scraping automation by YubHub

As a Fullstack Software Engineer, you will design and build the systems and experiences that power how millions of people connect to their finances. You will work across the stack, building scalable backend services and APIs while also crafting intuitive, high-quality frontend experiences that bring those systems to life.

This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.

• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.

• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.

• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.

• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.

• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features.

• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures.

• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences.

• Solid system design, coding, and testing skills across both frontend and backend.

• Proven ability to collaborate effectively with product, design, and other engineering partners.

• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership.

• Comfortable working across product, operations, and data teams to deliver end-to-end solutions.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

XML job scraping automation by YubHub

This role is ideal for engineers who enjoy switching between backend problem-solving and frontend user experience work, and who are excited to grow their impact across both. You will collaborate closely with product managers, designers, and other engineers to ship products that are reliable, secure, and delightful to use.

Responsibilities

• Build across the stack. Design, develop, and maintain scalable backend services and APIs, as well as intuitive, high-quality frontend applications that bring those systems to life.
• Collaborate cross-functionally. Partner closely with product managers and designers to define requirements and deliver features that solve real customer problems.
• Maintain high code quality. Write clean, maintainable, and well-tested code, and participate in code reviews and technical design discussions.
• Test and debug. Build automated tests, monitor system performance, and troubleshoot issues in production environments.
• Contribute to system design. Engage in hands-on coding and architectural decisions to ensure reliability, security, and scalability.
• Grow the team. Support a strong engineering culture through mentorship, thoughtful reviews, and shared ownership of technical standards.

Qualifications

• 5+ years of software engineering experience with a track record of shipping production systems or features.
• Experience building backend services using relational databases such as MySQL, and working with microservices or service-oriented architectures.
• Strong working knowledge of HTML, CSS, JavaScript, and modern frontend frameworks or libraries, with comfort building user-facing experiences.
• Solid system design, coding, and testing skills across both frontend and backend.
• Proven ability to collaborate effectively with product, design, and other engineering partners.
• Experience mentoring or supporting the growth of other engineers through reviews, guidance, or leadership.
• Comfortable working across product, operations, and data teams to deliver end-to-end solutions.

Additional Information

Our mission at Plaid is to unlock financial freedom for everyone. To support that mission, we seek to build a diverse team of driven individuals who care deeply about making the financial ecosystem more equitable.

XML job scraping automation by YubHub

Responsibilities:

• Design and implement core backend services and data pipelines.
• Perform data-driven research using big data and leveraging Data Science toolset
• Document design choices and operational knowledge to successfully deploy and run services.
• Provide appropriate test coverage, unit and integration testing, with focus on performance and cost efficiency for your feature ownership areas.
• Ensure robust alerting, dashboards, and runbooks for production services are in place.
• Collaborate within the team and with other engineering teams to build new features and products according to business needs.
• Follow software design and development best practices and promote such practices in the team.

Requirements:

• 5+ years of professional experience working on backend systems in an enterprise environment
• 3+ years experience with data analysis / data science tasks and/or ML
• 2+ years experience programming in Python 2.x/3.x or Scala or Java
• Experience with AI development tools (especially agentic AI) is a plus
• Experience developing systems based on LLM is a plus
• Understanding of SOA, microservices, and event-driven architecture
• Experience with an enterprise-grade stack for scalable web apps including messaging broker, in-memory storages, NoSQL, and key-value databases
• Strong knowledge of TDD, Unit, and automated test paradigms
• Experience with SQL and RDBMS solutions
• Experience with large-scale data processing (Spark)
• Experience with Elasticsearch is a plus
• Experience with containerized applications, Docker, and Kubernetes
• Possess a DevOps mindset, AWS experience is a plus
• Bachelor’s Degree in Computer Science, Computer Engineering, or in a closely related discipline

XML job scraping automation by YubHub

This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

Responsibilities

• Backend Engineering - Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.
• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.
• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.
• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.
• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.
• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

AI-Assisted Feature Development

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.
• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.
• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.
• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

Reliability & Operations

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.
• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.
• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

Cross-Regional Collaboration

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.
• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.
• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

Requirements

• 5+ years of professional backend engineering experience building and operating production systems.
• Fluent in English , professional fluency required for daily work with global teams in written and spoken contexts.
• Fluent in Spanish or Portuguese , required for collaboration with LATAM teammates, customers, and operational partners.
• Strong proficiency in at least one backend language: Go, Python, or Node.js/TypeScript.
• Experience designing and building RESTful APIs, microservices, and event-driven backend systems.
• Solid understanding of relational databases (PostgreSQL preferred): schema design, query optimization, and data modeling.
• Experience with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.
• Demonstrated ability to integrate third-party APIs reliably in production , including error handling, retry logic, and observability.
• Experience working on globally distributed teams across time zones and regions.
• Comfortable using AI tools as part of everyday engineering work , integrating LLM API outputs into backend services and using AI coding assistants fluently.

Preferred Qualifications

• Experience in fintech, financial services, payments, or a regulated industry , familiarity with ledger systems, payment rails, or financial compliance (KYC/AML, PCI-DSS) is a strong plus.
• Prior experience at a startup or high-growth scale-up, comfortable building in ambiguity without heavy process support.
• Experience with multi-currency systems or cross-border payment processing.
• Familiarity with message queue systems (Kafka, RabbitMQ) and event-driven architecture.
• Global work experience , prior roles at companies operating across multiple countries and regulatory environments.
• Fluency in both Spanish and Portuguese.

XML job scraping automation by YubHub

This is a backend engineering role at its core, we're looking for a strong backend engineer who knows how to work effectively with AI tools, understands where AI can accelerate development and product capabilities, and is comfortable integrating AI-powered features into production backend systems.

Given the global nature of our business and the collaborative nature of our team, fluency in English is required for daily work with engineering, product, and business teams across multiple regions. Fluency in Spanish or Portuguese is equally required , our LATAM teams, customers, and operational partners work in both languages, and you will too.

Backend Engineering

• Design, build, and maintain scalable, reliable backend services that process financial transactions and serve Jeeves customers across 20+ countries.
• Write clean, testable, production-quality code in Go, Python, or Node.js/TypeScript; participate actively in design and code reviews.
• Build and consume RESTful and GraphQL APIs; design inter-service communication using gRPC, message queues, and event-driven architectures.
• Design and optimize relational and non-relational database schemas (PostgreSQL, MongoDB, Redis) for correctness, performance, and scale.
• Own backend features end-to-end , from scoping and technical design through deployment, monitoring, and iteration.
• Implement security best practices: authentication, authorization, input validation, and data protection across distributed services.

AI-Assisted Feature Development

• Integrate LLM API calls (e.g., OpenAI, Anthropic) into backend services as product features , such as spend categorization, document parsing, or natural language workflows , ensuring those integrations are reliable, observable, and cost-efficient.
• Build backend pipelines that consume AI-generated outputs safely: validate structured outputs, handle fallback scenarios, and design graceful degradation when AI services are unavailable or return low-confidence results.
• Collaborate with AI and data science teams to integrate model outputs into backend APIs , bridging experimental AI work and production systems.
• Use AI coding tools (GitHub Copilot, Claude, Cursor, etc.) fluently as part of your everyday development workflow.

Reliability & Operations

• Instrument services with structured logging, distributed tracing, and metrics for full operational visibility.
• Participate in on-call rotation; respond to production incidents and contribute to post-incident reviews.
• Contribute to CI/CD pipeline improvements, testing infrastructure, and deployment practices.

Cross-Regional Collaboration

• Work closely with engineering, product, compliance, and data teams across multiple time zones and regions , communicating in both English and Spanish or Portuguese as the situation requires.
• Contribute to a globally distributed engineering culture through thorough documentation, async design reviews, and thoughtful pull request feedback.
• Bring your regional perspective to product and engineering conversations , our LATAM customers have specific needs, and engineers who understand those markets make our product better.

XML job scraping automation by YubHub

Cyngn is a publicly-traded autonomous technology company that deploys self-driving industrial vehicles to factories, warehouses, and other facilities throughout North America.

We are looking for a Senior Software Engineer - Full Stack to join our team. As a key member of our engineering team, you will play a crucial role in developing our innovative fleet management system for autonomous industrial vehicles.

Responsibilities

• Develop and maintain both backend and frontend components of our cloud-based fleet management system
• Collaborate with Backend and Frontend Tech Leads to implement new features and improve existing functionality
• Write clean, efficient, and maintainable code in languages such as Python, Go or Java for backend, and React, Redux and TypeScript for frontend
• Contribute to the design and implementation of RESTful APIs and real-time data processing pipelines
• Assist in developing and optimizing database schemas and queries for both SQL and NoSQL databases
• Implement responsive and intuitive user interfaces
• Contribute to the development of advanced mapping features and geospatial data processing
• Participate in code reviews, providing constructive feedback to peers
• Assist in troubleshooting and resolving production issues across the full stack
• Implement and maintain unit tests, integration tests, and end-to-end tests
• Contribute to the continuous improvement of our development processes and tooling

Requirements

• 5+ years of professional software development experience in full stack roles
• Strong proficiency in backend development using Python, Go, Java, or similar languages
• Solid experience with frontend development using React, Redux, and TypeScript
• Familiarity with cloud platforms (AWS, Azure, or GCP) and microservices architectures
• Experience with database design and management, both SQL and NoSQL
• Knowledge of RESTful API design and implementation
• Understanding of event-driven architectures and message queuing systems
• Experience with containerization technologies such as Docker and Kubernetes
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines
• Strong problem-solving skills and ability to debug complex issues across the full stack
• Good understanding of software design patterns and architectural principles
• Excellent communication skills and ability to work effectively in a collaborative team environment

Nice to Have

• Experience with WebSocket implementations
• Familiarity with mapping libraries (e.g., Mapbox) and geospatial data handling
• Knowledge of IoT platforms or autonomous systems
• Experience with data visualization and dashboard creation
• Experience with performance optimization for both backend and frontend systems
• Familiarity with time-series databases for handling sensor data

Benefits & Perks

• Health benefits (Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare), Employee Assistance Program, 1:1 Health Concierge)
• Life, Short-term and long-term disability insurance (Cyngn funds 100% of premiums)
• Company 401(k)
• Commuter Benefits
• Flexible vacation policy
• Remote or hybrid work opportunities
• Sabbatical leave opportunity after 5 years with the company
• Paid Parental Leave
• Daily lunches for in-office employees
• Monthly meal and tech allowances for remote employees

XML job scraping automation by YubHub

As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

This is a unique opportunity to shape the future of AI at Cresta by solving complex problems and bringing breakthrough AI advancements into production environments.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta's AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta's customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor's degree in Computer Science or a related field.
• 5+ years of experience in backend system architecture, cloud services, or related technology fields.
• Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Previous experience working with Virtual Agent or AI Agent systems.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family.
• Flexible PTO to take the time you need, when you need it.
• Paid parental leave for all new parents welcoming a new child.
• Retirement savings plan to help you plan for the future.
• Remote work setup budget to help you create a productive home office.
• Monthly wellness and communication stipend to keep you connected and balanced.
• In-office meal program and commuter benefits provided for onsite employees.

Compensation at Cresta:

• Cresta's approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
• The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.

Salary Range: $205,000–$270,000 + Offers Equity

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We're looking for a Senior Full Stack Engineer to join our QM & Coaching Team. As a key member of our team, you'll play a crucial role in building and scaling the no-code platform that powers Cresta's processing capabilities. This platform empowers non-technical users to configure conversation workflows, apply automation without writing code.

Your responsibilities will include:

• Design, develop, and maintain end-to-end features for Cresta's no-code processing platform.
• Build intuitive UI components and visual editors for configuring conversation logic and workflows.
• Architect and implement backend services and APIs to power a dynamic no-code interface.
• Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way.
• Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.
• Identify areas for performance improvements and scalability in both frontend and backend systems.
• Ensure reliability, security, and maintainability across the full technology stack.

If you're passionate about building systems that simplify complex problems and empower users, we'd love to hear from you.

We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family's needs. Paid parental leave to support you and your family. Monthly Health & Wellness allowance. Work from home office stipend to help you succeed in a remote environment. Lunch reimbursement for in-office employees. PTO: 3 weeks in Canada.

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The QM & Coaching Team at Cresta is vital for our post-call intelligence products. Our core mission is to utilize Large Language Models (LLMs) and advanced AI techniques to transform conversations into actionable intelligence, streamlining the process of agent performance review and coaching. We build systems that deeply analyze agent behaviors, delivering structured insights into their performance and pinpointing critical areas for improvement. Through AI-powered exploration and interactive workflows, our work empowers organizations to leverage data-driven decisions and enhance the overall customer experience.

As a Senior Fullstack Engineer, you’ll play a key role in building and scaling the no-code platform that powers Cresta’s processing capabilities. This platform empowers non-technical users to configure conversation workflows, apply automation without writing code. You will work across the stack,from building intuitive UIs to robust backend services,enabling customers to unlock value from conversations quickly and flexibly.

You’ll partner with designers, product managers and AI/ML teams to turn complex requirements into delightful and performant product experiences. You’ll also help shape the future of our no-code architecture, ensuring it scales with our product and customer base.

Responsibilities:

• Design, develop, and maintain end-to-end features for Cresta’s no-code processing platform.
• Build intuitive UI components and visual editors for configuring conversation logic and workflows.
• Architect and implement backend services and APIs to power a dynamic no-code interface.
• Work closely with ML engineers to expose conversation intelligence in an accessible and configurable way.
• Develop data models and storage layers using Postgres, ClickHouse, and Elasticsearch.
• Identify areas for performance improvements and scalability in both frontend and backend systems.
• Ensure reliability, security, and maintainability across the full technology stack.
• Participate in design discussions, code reviews, and continuous integration processes.

Qualifications:

• Proven experience as a Senior Fullstack Engineer, with strong frontend and backend contributions to no-code or low-code platforms.
• Deep understanding of modern frontend technologies (React, TypeScript, etc.) and design patterns for building complex UIs.
• Backend expertise in Python, Go, or similar languages; experience with RESTful APIs and microservices architecture.
• Strong foundation in database systems and data modeling; hands-on experience with Postgres, ClickHouse, or Elasticsearch is a plus.
• Experience building platforms or tools for non-technical users, especially in AI/ML, automation, or workflow spaces.
• Familiarity with managing state, execution logic, or visual programming paradigms is a bonus.
• Strong collaboration and communication skills,able to work effectively across product, design, and engineering teams.
• Passion for building systems that simplify complex problems and empower users.

Perks & Benefits:

• Comprehensive medical, dental, and vision coverage with plans to fit you and your family
• Flexible PTO to take the time you need, when you need it
• Paid parental leave for all new parents welcoming a new child
• Retirement savings plan to help you plan for the future
• Remote work setup budget to help you create a productive home office
• Monthly wellness and communication stipend to keep you connected and balanced
• In-office meal program and commuter benefits provided for onsite employees

Compensation at Cresta:

• Cresta’s approach to compensation is simple: recognize impact, reward excellence, and invest in our people. We offer competitive, location-based pay that reflects the market and what each individual brings to the table.
• The posted base salary range represents what we expect to pay for this role in a given location. Final offers are shaped by factors like experience, skills, education, and geography. In addition to base pay, total compensation includes equity and a comprehensive benefits package for you and your family.
• OTE Range: $205,000–$270,000 + Offers Equity

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About the role:

At Cresta, the Voice Platform team is on a mission to transform real-time voice infrastructure and contact center automation through AI-powered backend systems. As a Senior Software Engineer on the Voice Platform team, you’ll be responsible for designing, scaling, and operating the distributed services that power Cresta’s voice ecosystem. You’ll drive major initiatives in areas such as SIP and WebRTC support, multilingual and translation pipelines, and real-time conversation intelligence.

Responsibilities:

• Lead the design and development of scalable, distributed backend microservices in Golang (with some Python for AI-related services).
• Own and evolve voice platform integrations with large-scale enterprise communication and contact center systems.
• Drive initiatives to expand platform capabilities, including bi-directional SIP, WebRTC integrations, multilingual support, advanced transcription, and real-time translation.
• Build systems that power conversation intelligence for both remote and in-person interactions.
• Improve observability, reliability, and self-service troubleshooting across the platform.
• Ensure performance, scalability, and resilience of real-time voice pipelines running in the cloud.
• Collaborate with cross-functional teams (ML, product, solution architects) to design end-to-end solutions for customer deployments.
• Provide technical guidance, mentorship, and best practices to other engineers on the team.

Qualifications We Value:

• Bachelor’s degree in Computer Science or related field.
• 5+ years of experience in backend system development, distributed systems, or cloud infrastructure.
• Expertise in Go (or a similar systems language) with strong API and service design skills.
• Proven experience with scalable architectures using microservices, workflow orchestration, distributed caching, and cloud databases.
• Strong knowledge of Kubernetes, Docker, and modern cloud infrastructure.
• Solid understanding of networking, real-time communication protocols, and cloud security best practices.
• Demonstrated ability to lead complex technical projects from design through production.
• Bonus: experience with voice systems, telephony, or real-time media platforms.

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We're building a state-of-the-art Customer Data Platform, visualizing relevant insights for businesses post-onboarding and guiding customer engagement across all touch-points. Be part of the team that's redefining the way businesses connect with their customers!

Responsibilities:

• Design, implement, and maintain backend services and APIs to support applications.
• Build and optimize data storage solutions using Postgres, ClickHouse, and Elasticsearch to ensure high performance and scalability.
• Collaborate with cross-functional teams, including frontend engineers, data scientists, and machine learning engineers, to deliver end-to-end solutions.
• Monitor and troubleshoot performance issues in distributed systems and databases.
• Write clean, maintainable, and efficient code following best practices for backend development.
• Participate in code reviews, testing, and continuous integration efforts.
• Ensure security, scalability, and reliability of backend services.
• Analyze and improve system architecture, focusing on performance bottlenecks, scaling, and security.

Qualifications We Value:

• Proven experience as a Backend Engineer with a focus on database design and system architecture.
• Strong expertise in ClickHouse or similar columnar databases for managing large-scale, real-time analytical queries.
• Hands-on experience with Elasticsearch for indexing and searching large datasets.
• Proficient in backend programming languages such as Python, Go.
• Experience with RESTful API design and development.
• Solid understanding of distributed systems, microservices architecture, and cloud infrastructure.
• Experience with performance tuning, data modeling, and query optimization.
• Strong problem-solving skills and attention to detail.
• Excellent communication and teamwork abilities.

Perks & Benefits:

• Paid parental leave to support you and your family
• Monthly Health & Wellness allowance
• Work from home office stipend to help you succeed in a remote environment
• Lunch reimbursement for in-office employees
• PTO: 28 days in Germany

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At Cresta, the AI Agent team is on a mission to create state-of-the-art AI Agents that solve practical problems for our customers. We are focused on leveraging the latest technologies in Large Language Models (LLMs) and AI Agent systems, while ensuring that the solutions we develop are cost-effective, secure, and reliable.

As a Senior Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field.
• 5+ years of experience in backend system architecture, cloud services, or related technology fields.
• Proficient in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Previous experience working with Virtual Agent or AI Agent systems.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Paid parental leave to support you and your family.
• Monthly Health & Wellness allowance.
• Work from home office stipend to help you succeed in a remote environment.
• Lunch reimbursement for in-office employees.
• PTO: 3 weeks in Canada.

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We are building infrastructure that enables the world's largest financial institutions,banks, broker-dealers, fintechs, and payments companies,to offer digital asset services to their end clients. Think banking-as-a-service, but for crypto custody, trading, staking, and more.

This is an opportunity to grow as an engineer while contributing to a platform that will power the next generation of institutional digital asset adoption. You'll work at the intersection of cutting-edge crypto technology and the rigorous standards required by regulated financial services.

As an engineer on this team, you will contribute to the technical direction of our infrastructure services platform, collaborate with experienced engineers, and help build critical systems. You'll own features from development through deployment and deepen your expertise in financial infrastructure.

Technical Skills:

• Develop and maintain infrastructure that powers digital asset custody, trading, staking, and settlement for enterprise financial institutions
• Contribute to virtual accounting layers, API integrations, and multi-tenant platform architectures with guidance from senior engineers
• Write clear, concise, tested code and participate in code reviews to improve engineering practices
• Build understanding of security, reliability, and testing best practices in a regulated environment

Complexity and Impact of Work:

• Take ownership of the full lifecycle of features,from development through deployment,with increasing autonomy over time
• Apply problem-solving skills to troubleshoot issues, document technical improvements, and contribute to solutions
• Contribute to cross-functional projects and collaborate with adjacent teams to deliver on platform goals
• Participate in on-call rotation to provide product support for the software and infrastructure the team owns

Organizational Knowledge:

• Understand how Anchorage's company priorities relate to your area of work and clearly communicate the 'why' behind the work
• Work closely with compliance, legal, and security teams to understand regulatory requirements affecting the platform
• Participate in the hiring process through referrals, conducting interviews, or attending recruiting events

Communication and Influence:

• Communicate clearly and proactively share updates that impact colleagues, managers, and leads
• Contribute actively to team discussions and problem-solving efforts
• Collaborate with your team and adjacent teams to solve problems, and assist or teach other team members when possible

You may be a fit for this role if you have:

• 2-5 years of professional experience building backend services and distributed systems
• Experience contributing to customer-facing APIs or multi-tenant platform architectures
• Familiarity with cloud-native microservices (we use GCP, but experience with other cloud providers is sufficient)
• A track record of writing automated tests alongside your features and supporting production systems
• Experience participating in on-call support and incident response for production systems
• Strong computer science fundamentals (algorithms, data structures, systems design),formal CS degree not required
• A genuine interest in code quality, infrastructure reliability, and security
• The ability to prioritize end-user experience and business value

Although not a requirement, bonus points if:

• Professional experience with C++, Go, or Rust
• Experience with Kubernetes and container orchestration
• Exposure to ledger systems, virtual accounting layers, or custody infrastructure
• Background in financial services, fintech, or banking-as-a-service platforms
• Experience with system security (authentication, authorization, identity management)
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Interest in or exposure to the cryptocurrency or digital assets industry

Additional Information About Anchorage Digital:

Who we are The Anchorage Village, what we call our team, brings together the brightest minds from platform security, financial services, and distributed ledger technology to provide the building blocks that empower institutions to safely participate in the evolving digital asset ecosystem.

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About the Role: As a Software Engineer, your goal will be to ensure that our AI Agents are backed by the most reliable and scalable server solutions. This includes designing and maintaining the server architecture that handles real-world, high-volume interactions and ensures high availability and performance.

Responsibilities:

• Design, develop, and maintain scalable and robust backend architectures for Cresta’s AI Agent solutions and proprietary models.
• Collaborate with cross-functional teams including frontend engineers, machine learning engineers to ensure seamless integration of AI Agents into Cresta’s customer solutions.
• Lead initiatives to enhance system scalability and reliability in production environments, focusing on backend services that support AI functionalities.
• Drive efforts to optimize server response times, process large volumes of data efficiently, and maintain high system availability.
• Innovate and implement security measures, cost-reduction strategies, and performance improvements in backend systems supporting AI Agents.

Qualifications We Value:

• Bachelor’s degree in Computer Science or a related field.
• 2+ years of experience in backend system architecture, cloud services, or related technology fields.
• Knowledge in designing and maintaining clear and robust APIs with a strong understanding of protocols including gRPC, REST.
• Experience in high-performance database schema design and query optimization, including knowledge of SQL and NoSQL databases.
• Experience in containerized application deployment using Kubernetes and Docker in microservices architectures.
• Experience with cloud environments such as AWS, Azure, or Google Cloud, with a strong understanding of cloud security and compliance standards.
• Bonus: experience working with Virtual Agent or AI Agent systems.

Perks & Benefits:

• We offer Cresta employees a variety of medical, dental, and vision plans, designed to fit you and your family’s needs.
• Paid parental leave to support you and your family.
• Monthly Health & Wellness allowance.
• Work from home office stipend to help you succeed in a remote environment.
• Lunch reimbursement for in-office employees.
• PTO: 3 weeks in Canada.

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We are building infrastructure that enables the world's largest financial institutions,banks, broker-dealers, fintechs, and payments companies,to offer digital asset services to their end clients.

This is a greenfield opportunity to architect and build a platform that will power the next generation of institutional digital asset adoption.

As an engineer on this team, you will drive the technical direction of our infrastructure services platform, mentor other engineers, and help shape the product roadmap.

Technical Skills:

• Build secure, scalable infrastructure that powers digital asset custody, trading, staking, and settlement for enterprise financial institutions
• Design and implement virtual accounting layers, API integrations, and multi-tenant platform architectures
• Drive technical excellence through code reviews, design specs, and mentorship across the engineering organization
• Foster an efficient testing culture with emphasis on security, reliability, and minimizing tech debt in a regulated environment

Complexity and Impact of Work:

• Lead complex cross-functional projects spanning custody, trading, compliance, and client integration
• Break down large initiatives into well-scoped deliverables; accurately estimate multi-person, multi-quarter projects
• Own the end-to-end lifecycle of platform features,from architecture through production support and on-call rotation
• Find the right balance between shipping velocity and the perfection required for regulated financial infrastructure

Organizational Knowledge:

• Collaborate across product lines and with enterprise clients to understand and deliver on their infrastructure needs
• Work closely with compliance, legal, and security teams to ensure platform meets regulatory requirements
• Contribute to scaling the team through hiring, onboarding, and knowledge sharing

Communication and Influence:

• Influence architecture decisions and product roadmap,have a seat at the table with leadership
• Mentor and guide engineers on the team; help others connect their work to Anchorage's strategic goals
• Communicate effectively with external stakeholders, including enterprise clients and partners

You may be a fit for this role if you have:

• 8+ years of professional experience building backend services and distributed systems
• Experience designing and delivering customer-facing APIs and multi-tenant platform architectures
• Experience with cloud-native microservices (we use GCP, but experience with other cloud providers is sufficient)
• A track record of building automated tests alongside your features and maintaining production systems over time
• Experience performing on-call support and incident response for production systems
• Strong computer science fundamentals (algorithms, data structures, systems design),formal CS degree not required
• A genuine interest in code quality, infrastructure reliability, and security
• The ability to prioritize end-user experience and business value over 'cool tech'

Although not a requirement, bonus points if:

• Professional experience with C++, Go, or Rust
• Professional experience with Kubernetes and container orchestration
• Experience building ledger systems, virtual accounting layers, or custody infrastructure
• Background in financial services, fintech, or banking-as-a-service platforms
• Experience with system security (authentication, authorization, identity management, API keys)
• Familiarity with regulatory requirements for financial institutions (SOC 2, bank examinations, etc.)
• Background in the cryptocurrency or digital assets industry
• You were emotionally moved by the soundtrack to Hamilton, which chronicles the founding of a new financial system.

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