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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$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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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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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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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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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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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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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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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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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 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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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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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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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

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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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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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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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You bring a strong foundation in AI/ML, hands-on experience with prompt engineering, and a proven track record of integrating advanced tools across diverse platforms.

You thrive in collaborative environments, adept at translating business needs into scalable, secure, and reliable technical solutions. Compliance and vulnerability management are second nature to you, and you proactively embed best practices into your development workflow.

You are excited by the prospect of architecting end-to-end AI automation within the Fluids Business Unit (FBU), enhancing global user experiences and streamlining workflows for maximum impact.

Your background includes MCP architectures, enterprise automation, and secure DevOps practices. You excel at integrating AI-powered tools into large-scale platforms, such as Copilot, and are driven by a relentless desire to innovate.

As a leader and collaborator, you inspire those around you to strive for continuous improvement and technical excellence. You are committed to pushing the boundaries of what’s possible, ensuring the solutions you build are not only powerful but also future-ready.

Designing and developing MCP-based AI tools for seamless cross-platform usage within the Fluids Business Unit. Implementing intelligent code generation, setup validation, automated report creation, and user-defined function (UDF) generation features. Enabling support for multiple LLM providers and models, ensuring portability and extensibility of AI solutions. Integrating FBU’s MCP server with the organization’s centralized MCP server for unified workflow automation. Collaborating with the framework team to embed AI tools into the Copilot platform, enhancing enterprise productivity. Ensuring all tools comply with enterprise security standards, certifications, and vulnerability management practices. Conducting rigorous security assessments and proactively mitigating vulnerabilities in AI pipelines and integrations. Architecting scalable AI automation solutions for end-to-end workflows within Fluids One, optimizing for performance and reliability. Optimizing AI workflows for maintainability, scalability, and seamless user experience.

Drive the AI transformation initiative within the Fluids Business Unit, advancing automation and intelligent system integration. Empower end-to-end automation in Fluids One, reducing manual intervention and accelerating productivity. Enhance the organization’s Copilot platform with advanced AI-powered tools that simplify complex workflows. Improve enterprise security posture by embedding robust compliance and vulnerability management into AI solutions. Foster innovation in AI toolchain development, supporting multi-provider and multi-model orchestration for maximum flexibility. Contribute to Synopsys’ leadership in AI-driven automation, setting industry standards for scalable and secure enterprise solutions.

Bachelor’s or Master’s degree in Computer Science, AI, Software Engineering, or a related field. Strong experience in AI/ML system design and integration, particularly in enterprise environments. Hands-on expertise with RAG architectures, large language models (LLMs), and prompt engineering. Proficiency in multi-model/multi-provider AI integration, developing cross-platform enterprise tools and APIs. Deep understanding of enterprise security practices, vulnerability scanning, and compliance requirements. Experience integrating AI solutions into enterprise platforms (e.g., Copilot-style systems). Strong programming skills in Python and GO Lang. Experience with microservices architecture and server integration.

Innovative and solution-oriented, always seeking to push the boundaries of what AI can achieve. Collaborative, with excellent communication skills and the ability to work across diverse teams. Detail-oriented and meticulous, ensuring high-quality and secure deliverables. Resilient and adaptable, capable of thriving in fast-paced, evolving environments. Proactive in identifying risks and implementing mitigation strategies. Committed to continuous learning and staying updated with industry advancements.

Engineering

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Your responsibilities will include participating in code reviews, providing constructive feedback, and incorporating feedback from senior developers, writing unit and integration tests to ensure reliability and prevent regressions, documenting code, APIs, and architectural decisions, developing and maintaining CI/CD pipelines using GitHub Actions to automate build, test, and deployment, creating and maintaining reusable GitHub Actions workflows and composite actions, partnering with IT to maintain and improve DevOps infrastructure, and monitoring and troubleshooting pipeline failures to ensure reliable delivery.

To succeed in this role, you'll need to be currently pursuing a master's degree in Computer Science, Software Engineering, or a related field, have a solid understanding of Python programming, familiarity with SOLID principles and software design patterns, experience with web frameworks, knowledge of microservices architecture concepts, proficiency with version control using Git, experience with containerization tools such as Docker, exposure to CI/CD pipelines, especially with GitHub Actions, strong written and verbal communication skills, ability to collaborate effectively in a team environment, eagerness to learn new technologies and adapt to changing requirements, and openness to give and receive constructive feedback.

This internship is a full-time position (35 hours/week) with a start date of ASAP. Synopsys is committed to creating an inclusive workplace and is an equal opportunity employer.

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Responsibilities:

• Work closely with product, program, and business leaders to develop a long-term vision and execute on sales systems strategy that scales seller motions.
• Adapt prioritization and staffing decisions as the team, business, and user demands progress.
• Design and build delightful Stripe-facing tooling and business-critical services to support sales channel infrastructure.
• Ensure our infrastructure is extensible, scalable, reliable, and meets SLAs for both external and internal users.
• Improve engineering standards, tooling, and processes.
• Build, lead, and manage a high-performing team of engineers.

Requirements:

• 10+ years of software engineering experience, including at least 3+ years of management experience.
• Organizational leadership experience, including experience collaborating with executive leadership.
• Experience proactively seeking feedback from users, business leaders, and subject matter experts.
• Excellent verbal and written communication.
• Support the engineering team in achieving a high level of technical quality, reliability, and ease-of-use.
• Manage processes to help the team do its best work and engage effectively with the rest of Stripe.
• Recruit great engineers, in collaboration with Stripe's recruiting team.
• Develop engineers on the team, helping them advance in their careers.
• Contribute to engineering-wide initiatives as a member of Stripe's engineering management team.
• Collaborate with stakeholders across engineering to provide a wonderful user experience.

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We are seeking a senior backend engineer to join our team in Shenzhen, China. As a senior backend engineer, you will be responsible for designing, developing, and optimizing our core backend systems, including payment gateways, settlement systems, mobile POS integrations, and financial service APIs.

Responsibilities

• Design, develop, and optimize high-performance backend services and APIs (REST/gRPC) using Kotlin or Java
• Participate in backend architecture design to ensure system high availability and scalability
• Troubleshoot and optimize system performance issues to ensure system stability
• Collaborate closely with frontend, product, and testing teams to drive project delivery
• Write high-quality, maintainable code and participate in code reviews
• Stay up-to-date with the latest trends in backend and cloud technologies

Requirements

• 5+ years of experience in backend development (Kotlin or Java)
• Familiarity with microservices architecture, cloud deployment (AWS/GCP), and CI/CD pipelines (GitHub Actions)
• Proficiency in SQL/NoSQL databases (PostgreSQL, MySQL, Redis)
• Familiarity with Docker, Kubernetes, and message queue systems (Kafka)
• Familiarity with API design (REST/gRPC) and version control (GitHub)
• Familiarity with agile development processes and good team collaboration skills
• Good English communication skills (Mandarin or Cantonese is a plus)
• Experience in financial technology, payment, or settlement systems is a plus

Preferred Skills

• High concurrency and large-scale system development experience
• Understanding of DevOps, CI/CD pipelines, and ability to drive automation deployment and operations
• Experience in distributed systems or data architecture design
• Contributions to open-source communities or personal technical blogs

Why Join Kody?

• Global technology company with offices in Singapore, London, and Hong Kong
• Flexible work arrangements in Shenzhen and Hong Kong
• Technology-driven culture with engineers having core influence on product decisions
• Challenging projects, including large-scale backend architecture design and optimization
• Competitive salary and benefits to reward your technical contributions

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As a Senior Backend Engineer at Kody, you will be responsible for designing, developing, and optimizing our core backend systems, including payment gateways, settlement systems, mobile POS integrations, and financial service APIs.

Responsibilities

• Design, develop, and optimize high-performance backend services and APIs (REST/gRPC) using Kotlin or Java
• Participate in backend architecture design to ensure system high availability and scalability
• Troubleshoot and optimize system performance issues to ensure system stability
• Collaborate closely with frontend, product, and testing teams to drive project delivery
• Write high-quality, maintainable code and participate in code reviews
• Stay up-to-date with the latest developments in backend and cloud technologies

Requirements

• 5+ years of experience in backend development (Kotlin or Java)
• Familiarity with microservices architecture, cloud deployment (AWS/GCP), and CI/CD pipelines (GitHub Actions)
• Familiarity with SQL/NoSQL databases (PostgreSQL, MySQL, Redis)
• Familiarity with Docker, Kubernetes, and message queue systems (Kafka)
• Familiarity with API design (REST/gRPC) and version control (GitHub)
• Familiarity with agile development processes and good team collaboration skills
• Good English communication skills (Mandarin or Cantonese is a plus)
• Experience in financial technology, payment, or settlement systems is a plus

Preferred Qualifications

• Experience in high-concurrency, large-scale system development
• Understanding of DevOps, CI/CD pipelines, and ability to drive automation deployment and operations
• Experience in distributed systems or data architecture design
• Contributions to open-source communities or personal technical blogs

Why Join Kody?

• Global technology company with offices in Singapore, London, and Hong Kong
• Flexible work arrangements in Shenzhen and Hong Kong
• Technology-driven culture with engineers having core influence on product decisions
• Challenging projects, including large-scale backend architecture design and optimization
• Competitive salary and benefits to reward your technical contributions

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Your expertise in Kotlin will drive the development of vital backend services, integrating with various APIs and databases while adhering to best practices for software development. You will collaborate closely with our product and frontend teams to deliver high-quality features that align with our product roadmap.

Responsibilities:

• Design, develop, and maintain efficient, reusable, and reliable Kotlin code for our backend services.
• Implement server-side logic and APIs, ensuring high performance and responsiveness to front-end requests.
• Collaborate with cross-functional teams to define, design, and ship new features while ensuring alignment with product requirements.
• Troubleshoot and debug applications, optimize performance, and implement security measures to protect data and maintain system integrity.
• Contribute to all phases of the development lifecycle, from design to deployment, and participate in code reviews to maintain code quality and efficiency.
• Stay up-to-date with the latest industry trends, technologies, and best practices to continually improve our development processes.

Requirements:

• Proven experience as a Backend Engineer or similar role, with a strong focus on Kotlin.
• Solid understanding of object-oriented programming principles and design patterns.
• Experience with RESTful APIs and microservices architecture.
• Hands-on experience with relational and non-relational databases.
• Knowledge of CI/CD pipelines and software development methodologies such as Agile.
• Familiarity with cloud services and deployment environments (e.g., AWS, GCP).
• Strong problem-solving skills and a proactive mindset.
• Excellent communication skills in English, both written and verbal.
• Ability to work independently and collaboratively within a team.
• Prior experience in the fintech industry is a plus.

Benefits:

• We're a fast growing, exciting company within a rapidly developing industry. You'll be surrounded by super ambitious individuals who think really big.

• What we offer:
• 31 days of annual leave per year (inc. national holidays)
• Health and Dental Insurance
• Regular team socials (office and out of office)
• Great office location in Admiralty

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Location

San Francisco

Employment Type

Full time

Department

Security

Compensation

• $293K – $385K

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.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Infrastructure Engineering function sits within IT and is responsible for reliably building, deploying, and operating critical on prem and hybrid environments that power internal services and critical R&D environments.

This is a new, bootstrap team focused on applying strong Site Reliability Engineering discipline to environments where uptime, safety, recoverability, and security are non-negotiable. The team replaces bespoke, one off infrastructure with standardized infrastructure-as-code building blocks that compound reliability and operational leverage as OpenAI scales.

About the Role

We are looking for a Security Reliability Engineering Lead to design, build, and operate reliable, secure, and scalable infrastructure that underpins identity, access, endpoint, and shared platform services across the company.

In this role, you will own infrastructure and identity systems end to end, from foundational design and provisioning through policy enforcement, upgrades, recovery, and day two operations. You will establish durable, production grade platforms that remove operational friction, enforce security by default, and enable teams to move faster with confidence.

This role is well suited for a senior engineer who thrives in ambiguity, enjoys owning complex systems end to end, and raises the reliability and security bar by replacing fragile implementations with standardized, repeatable infrastructure.

This role is based in our San Francisco HQ and requires in-office presence.

In this role, you will:

Set direction and establish strong foundations

• Define and evolve infrastructure patterns for on prem and hybrid environments, including self hosted platforms, vendor supported systems, and lab environments.

• Establish standardized, production grade deployment and operational models that replace bespoke implementations.

• Partner with IT, Security, Identity, and Network teams to ensure infrastructure meets reliability, security, and access requirements by design.

• Design and mature the production architecture for IAM adjacent platforms such as Microsoft Entra using SRE principles.

• Establish common management rules and shared resources within Azure subscriptions to ensure consistent, policy aligned operations.

Build, operate, and scale reliably

• Own the full lifecycle of infrastructure systems, including deployment, upgrades, patching, recovery, and ongoing operations.

• Operate and harden shared infrastructure provisioned through Infra Terraform, ensuring repeatability, auditability, and safe change management.

• Design and implement infrastructure as code and configuration management to support shared services, identity adjacent systems, and endpoint platforms using tools like Chef, Ansible and Terraform.

• Build and operate monitoring, alerting, and incident response mechanisms to meet high availability and recoverability targets.

• Lead incident response and postmortems across infrastructure, identity adjacent platforms, and fleet systems, driving durable fixes and shared learning.

• Build and operate containerized and platform services, including Kubernetes and Docker-based workloads, using DevOps practices that emphasize reliability, repeatability, and safe change management.

• Use Git-based workflows as the source of truth for infrastructure and policy changes, enabling review, auditability, and safe, reversible automation.

Automate for leverage and safety

• Identify high leverage automation opportunities that eliminate manual toil and reduce operational risk across infrastructure and access related systems.

• Implement guardrails, safety mechanisms, and progressive rollout patterns for infrastructure and policy enforcement changes.

• Ensure automation is safe, observable, and resilient under failure conditions, particularly for shared services and high blast radius systems.

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Location

San Francisco

Employment Type

Full time

Department

Applied AI

Compensation

• $255K – $385K

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.

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 Applied Infrastructure organization, and more specifically for our Database Systems and Online Storage teams. These 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 that aims to develop and apply general-purpose technologies to align with human values.

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What you'll do

• Drive SRE initiatives to improve system availability, performance, and resilience across Java microservices
• Define and track SLOs, SLIs, and error budgets for critical services

What you need

• Strong experience with Java, Spring Boot, and microservices architectures

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We’re EA—the world’s largest video game publisher. You’re probably familiar with many of our titles—Madden, FC, Apex Legends, The Sims, Need for Speed, Dead Space, Battlefield and Star Wars, to name a few. But maybe you don’t know how we’re committed to creating games for every platform—from social to mobile to console —to give our players that anytime, anywhere access they demand. What does that mean for you? It means more opportunities to unleash your computing genius.

What you'll do

• Architect, design & build massively scalable services, solutions, and platforms with stellar performance.
• Provide technology roadmap & direction for platforms, products, and features.

What you need

• Bachelor of Technology or Engineering from a reputed institute.
• 12+ years of experience working in Java, J2EE technologies and 8+ years of experience in building highly scalable distributed systems using Microservices architecture.

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