The successful candidate will have a proven understanding in enterprise security and AI security and will focus on defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks, ensuring safe enterprise adoption.

Key responsibilities include:

• Defining and implementing security guardrails for Generative AI, LLMs, and Agentic frameworks
• Conducting specialized threat modeling, red teaming, and risk assessments for AI/ML models
• Leading risk management activities, including application risk assessments, design reviews, and mitigation strategies for IT projects
• Engaging throughout the SDLC to identify vulnerabilities, conduct code reviews/penetration testing, and enforce secure coding standards
• Evangelizing AppSec and AI security best practices through developer education, training materials, and outreach

Qualifications include:

• Bachelor's degree or higher in Computer Science, Computer Engineering, IT Security or related field
• 5+ years' experience working as an Application Security Engineer, Software Engineer, or similar role
• Deep understanding of AI-specific risks (OWASP Top 10 for LLMs) and experience securing applications utilizing LLMs
• Experience working with AI models, Agentic frameworks and security risks associated with AI
• Experience in working with global teams, collaborating on code and presentations

Preferred qualifications include:

• Demonstrated work experience in hybrid on-premise and Public Cloud environments (AWS/GCP/Azure)
• Strong understanding of security architectures, secure configuration principles/coding practices, cryptography fundamentals and encryption protocols
• Experience with common SCM & CI/CD technologies like GitHub, Jenkins, Artifactory, etc. and integrating Security Scanning and Vulnerability Management into the CI/CD Pipelines
• Familiarity with static and dynamic security analysis tools, and SCA/SBOM solutions
• Hands on experience with Secrets Management & Password Vault technologies such as Delinea Secret Server and/or Hashicorp Vault, etc.
• Strong experience in secure programming in languages such as Python, Java, C++, C#, or similar
• Familiarity with Infrastructure as Code tools (CloudFormation, Terraform, Ansible, etc.)
• Familiarity with web application security testing tools and methodologies
• Knowledge of various security frameworks and standards such as ISO 27001, NIST, OWASP, etc.
• Knowledge of Linux, OS internals and containers is a plus
• Certifications like CISSP, CISM, CompTIA Security+, or CEH are advantageous

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

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We use AI-assisted development tools (e.g., Claude Code), cloud-native/serverless architectures on AWS, and modern full-stack technologies (C#, Angular, SQL), with a strong focus on Domain-Driven Design (DDD) and automated testing.

The role is suited to engineers who have delivered real-time, mission-critical systems in high trade volume, distributed and fault-tolerant environments.

Responsibilities

• Design and build scalable, real-time Regulatory/Compliance applications using C#/.NET, Angular, and SQL, leveraging AI-assisted tools to accelerate development and improve quality.
• Model business domains using DDD (bounded contexts, aggregates, entities, value objects, domain services, domain events) with a strong focus on business correctness and ubiquitous language.
• Architect and implement cloud-native/serverless solutions on AWS, including:
• Event-driven services using AWS Lambda and messaging/streaming (Kafka, SQS, SNS).
• Containerized microservices using Docker and Kubernetes (e.g., Amazon EKS).
• Build and maintain Angular front-ends that integrate securely and efficiently with backend APIs and domain services.
• Design and optimize relational data models and SQL queries (SQL Server, Snowflake) for high-volume, low-latency workloads.
• Drive a test-first mindset with strong automated test coverage (unit, integration, contract, and end-to-end) for critical domain workflows and controls.
• Collaborate with global business and Compliance stakeholders to understand requirements, shape domain models, and deliver auditable, production-ready solutions.

Requirements

• Core Engineering & Full-Stack Skills

+ Practical experience with AI-assisted tools (e.g., Claude Code, GitHub Copilot) for code generation/refactoring, test creation, debugging, and documentation + Expert-level C#/.NET and strong object-oriented design skills + Solid experience building Angular applications (components, state, routing, API integration) + Advanced SQL skills for schema design and complex queries (SQL Server, Snowflake) + Experience with high-throughput, concurrent/multithreaded systems + Kafka or similar messaging experience, including using JSON and Avro for data contracts in streaming and messaging + Strong understanding of unit testing, Dependency Injection, design patterns, concurrency, and SOLID principles + Experience with Git and GitHub in a collaborative, code-review-driven workflow

• Soft Skills & Domain Knowledge

+ Excellent analytical and problem-solving abilities. + Self-starter who thrives in a fast-paced, globally distributed environment. + Strong written and verbal communication skills with the ability to explain domain models, testing strategies, and architectural decisions to varied audiences.

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The systematic data group is looking for a Quantitative Developer to join our growing team. The team consists of content specialists, data scientists, engineers, and quant developers who are responsible for discovering, maintaining, and analysing sources of alpha for our portfolio managers.

The role builds on individual's knowledge and skills in four key areas of quantitative investing: data, statistics, technology, and financial markets.

Principal Responsibilities:

• Use finance knowledge and statistical knowledge to analyse potential alpha sources and present findings to portfolio managers and quantitative analysts.
• Build quant tools to help portfolio managers research, evaluate, combine alphas, and understand risks.
• Design and maintain tools to evaluate and monitor data quality and integrity for a wide variety of data sources.
• Engage with vendors, brokers, and perform analytics to understand characteristics of datasets.
• Interact with portfolio managers and quantitative analysts to understand their use cases and recommend datasets to help maximise their profitability.

Skills Required:

• 3+ years of work experience as a financial engineer, data scientist, or quant developer.
• Strong knowledge of Python and/or C++, Java, C#.
• Familiarity with data pipeline engineering, ETL for large datasets, and scheduling tools like Airflow.
• Strong SQL and database experience including PL-SQL or T-SQL.
• Understanding of typical software development lifecycle and familiarity with: Linux, GitHub, CI/CD.
• Ph.D. or Masters in computer science, mathematics, statistics, or other field requiring quantitative analysis.

Beneficial Skills and Experience:

• Understanding of risk models and performance attribution.
• Experience with financial markets such as equities and futures.
• Knowledge of statistical techniques and their usage.

The estimated base salary range for this position is $165,000 to $250,000, which is specific to New York and may change in the future. Millennium pays a total compensation package which includes a base salary, discretionary performance bonus, and a comprehensive benefits package.

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We're building an enterprise-grade Infrastructure Operations Platform named VOPs to support the facilitation of most complex IT infrastructure operations for all IT teams at Bayer globally. Your responsibilities will include:

Planning and Design: Join the team responsible for planning and running our VOPs platform. Leadership: Mentor a team of engineers, providing guidance and support in the implementation of cloud solutions. Collaboration with Stakeholders: Work closely with Squad Leads and other stakeholders to understand requirements and align integration strategies with business goals. Technical Oversight: Ensure that solutions are scalable, reliable, maintainable, and secure, adhering to best practices in IT architecture and in-line with Bayer's strategy. Documentation and Standards: Create, maintain, and review comprehensive documentation for processes, standards, and best practices. Intercultural Communication: Foster an environment of open communication and collaboration among diverse teams across different geographical locations.

Our requirements include: Degree in Computer Science, Information Technology, or related field, or equivalent practical experience as an IT engineer. At least 6 years of experience in Azure (other clouds will be a plus). Proficiency in IT Architecture & design, specifically in infrastructure automation, provisioning, and maintenance. Strong analytical skills with the ability to troubleshoot and resolve technical issues effectively, even under pressure. Familiarity with IaC (e.g., Terraform) and strong proficiency in Python. Linux command line tools and shell scripting. Experience with building IT systems in regulated environments. Integration and Automation Expertise: Knowledge of CI/CD processes and experience in building and deploying integration solutions (Azure DevOps, GitHub Repos, and GitHub Actions). Excellent verbal and written communication skills, with the ability to present complex technical information to non-technical stakeholders. Experience with API management and/or design will be appreciated. Intercultural Competence: Ability to work collaboratively in a multicultural environment, respecting diverse perspectives and fostering teamwork, establishing and maintaining a robust professional network. Language Proficiency: Fluent in English, both spoken and written.

What we offer includes: A flexible, hybrid work model. Great workplace in a new modern office in Warsaw. Career development, 360° Feedback & Mentoring programme. Wide access to professional development tools, trainings, & conferences. Company Bonus & Reward Structure. VIP Medical Care Package (including Dental & Mental health). Holiday allowance ('Wczasy pod gruszą'). Life & Travel Insurance. Pension plan. Co-financed sport card. FitProfit. Meals Subsidy in Office. Additional days off. Budget for Home Office Setup & Maintenance. Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5, and Xbox Series X consoles setup with premium game passes, and massage chairs. Tailored-made support in relocation to Warsaw when needed.

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This is the opportunity to start your career with a global leader committed to HealthForAll and HungerForNone. Bring your ideas, skills, and passion with you. Your career starts here.

Are you passionate about AI, data science, and behavioural insights? Join our Talent Impact team and apply your technical skills to projects that combine machine learning, generative AI, and behavioural science to improve how people work and develop. This internship offers hands-on experience in a supportive environment where you’ll learn, contribute, and make an impact.

Your tasks and educational objectives:

• Work with HR and behavioural data to create structured, analysis-ready datasets for people analytics.
• Support development and testing agentic AI workflows (including LLM-based tools) that support HR decision-making.
• Help to build and evaluate machine learning models to explore workforce trends, learning behaviours, and engagement.
• Together with team members, create dashboards and visualisations that turn complex data into actionable insights for HR and business partners.
• Apply modern data workflows using Databricks, GitHub Spaces, and cloud platforms (Azure or AWS).
• Collaborate with experienced mentors and participate in small experiments to measure impact and share findings.

Who you are:

• Python programming skills for data processing, modelling, and AI workflows.
• Hands-on experience with Generative AI (GenAI) or LLM-based systems (academic projects or internships count).
• Familiarity with cloud platforms (Azure or AWS), with a focus on Databricks and GitHub Spaces for collaborative development.
• Solid foundation in data science and machine learning.
• Strong interest in behavioural science, people analytics, and HR.
• Currently enrolled in a Master’s or advanced Bachelor’s program in data science, computer science, cognitive science, psychology, behavioural economics, neuroscience, or a related field.
• Curiosity, willingness to learn, and ability to work on-site in Leverkusen.
• Fluent English, written and spoken.

What we offer:

Our benefits package is flexible, appreciative, and tailored to your lifestyle, because what matters to you, matters to us!

• For a full-time position, you can expect an attractive salary of € 2,214 gross per month.
• Depending on the nature of your job, flexible work arrangements can be made in alignment with your manager.
• We support your growth through access to professional development and learning opportunities, such as LinkedIn Learning and our language learning platform Education First.
• As one of our perks, our Corporate Benefits program grants you access to sales discounts from more than 150 brands.
• We embrace diversity by providing an inclusive work environment in which you are welcomed, supported, and encouraged to bring your whole self to work.

Ever feel burnt out by bureaucracy? Us too. That’s why we’re changing the way we work, for higher productivity, faster innovation, and better results. We call it Dynamic Shared Ownership (DSO). Learn more about what DSO will mean for you in your new role here https://www.bayer.com/en/strategy/strategy

Our Mission & Strategy:

Through Dynamic Shared Ownership, we’re putting an end to the hierarchical model and putting more power in the hands of the innovators and creators at Bayer. Ready to join us? Apply now and start your 6-month learning journey in Leverkusen!

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Your responsibilities will include driving down costs through automation, less TOIL and efficient use of Infrastructure, evaluating the SWIFT product and services from functional and non-functional perspective, and delivering change program as per the annual Book of Work. You will also be responsible for collecting resource and cost estimates, establishing baseline budgets, and securing approvals from the Program Steering Committee, tracking expenses against approved budgets and providing monthly progress reports to stakeholders, conducting revenue projections to support business cases, identifying cost savings, and optimizing resource allocation.

Additionally, you will be responsible for the budget management and reporting for SWIFT Alliance Gateway USA, identifying and managing risks, dependencies, and compliance requirements throughout the service lifecycle, ensuring all functional and regulatory standards are met. You will perform periodic risk assessments, enforce HSBC's Enterprise and Operational Risk Management Frameworks, and maintain robust control documentation.

You will participate in audits and implement all security and data privacy controls as per compliance standards, leading program governance forums, project kickoff meetings, and project status updates, and facilitating cross-team collaboration. You will define and execute a detailed communication plan, including escalation protocols and risk communication, maintaining strong working relationships with cross-functional teams, vendors, and resource managers, ensuring alignment with project goals.

This is a full-time position, Monday-Friday, 40 hours per week, with telecommuting permitted up to 100% from anywhere in the US.

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About us

At Pomelo Care, we are redefining the healthcare journey for women and children. As the leading virtual medical practice in our field, we provide a continuous circle of support,from the first steps of family building and the complexities of pregnancy to the nuances of postpartum, pediatric, and midlife care.

What you'll do

As our first Product Security Engineer, you will sit at the intersection of Security and Software Engineering. Reporting directly to the CISO, you will be a "Security Builder": embedded within our engineering teams with the autonomy needed to build the automation, tools, and workflows that make security a seamless part of the software development lifecycle.

You aren't just finding bugs; you are building the systems that prevent and fix them at scale. Your work will be centered on three core strategic pillars:

• Secure architecture and auth: you will design and implement auth enhancements such as magic link improvements and access/audit log features to monitor access and improve transparency.

• Privacy engineering: you will lead the privacy engineering initiatives including DSAR integration, building automated data deletion capabilities directly into the Pomelo mobile app and our internal platform to ensure seamless compliance. You will also help improve privacy-preserving data de-identification and anonymization as needed.

• Full-cycle remediation: you will own the end-to-end pentest-to-fix lifecycle. This means you don't just triage reports; you write the code to fix penetration test findings, remediate SAST issues, and build greenkeeping systems for high-volume dependency patching with regression testing.

Beyond these pillars, you will serve as a high-leverage engineering partner to the broader InfoSec team by:

• Building secure-by-default libraries: reducing the load on core Software Engineering by creating internal libraries and patterns that make security the default path.

• Threat modeling: partnering with engineering leads to conduct threat modeling and ensure secure design at the earliest stages of the development process.

• Scaling through collaboration: as a security resource embedded in our engineering teams, you will help engineering squads navigate complex security use cases, translating GRC requirements into elegant code rather than manual checklists.

Who you are

You’re an enthusiastic and collaborative engineer who enjoys solving meaningful problems through code. You view security as a product challenge, and you believe the best way to secure a system is to make the "secure way" the "easy way." In particular, you:

• Are a builder first: Have 5+ years of software engineering experience with a strong foundation in computer science and a track record of shipping production-grade code (Python, Go, Kotlin or similar).

• Have a security mindset: You understand the OWASP Top 10, identity flows and prompt injections, but you’d rather build a system that eliminates a class of vulnerability than manually triage individual alerts. You believe security expertise should be embedded into the development process, not bolted on at the end.

• Are an automation enthusiast: you enjoy tackling complex problems with practical automation and are keeping up with trends in LLM agents to multiply your engineering impact.

• Navigate ambiguity: as a floating resource across various engineering teams, you are comfortable context-switching and can quickly build rapport with different engineering teams to understand their needs.

We’ll be super excited if you

• Have experience with Google Cloud Platform (GCP), Github Advanced Security (GHAS), Stytch, Sentry, Fullstory, Statsig or similar technology stack.

• Have prior experience in healthcare data, including understanding of HIPAA, SOC 2 Type 2 and HITRUST compliance requirements.

• Have experience building data infrastructure that supports AI/ML workloads,internal developer platforms and privacy preserving data de-identification and anonymization techniques.

• Have previously worked in a fast-paced, product-oriented startup environment.

Why you should join our team

By joining Pomelo, you will get in on the ground floor of a fast-moving, well-funded, and mission-driven startup that always puts the patient first. You will learn, grow and be challenged -- and have fun with your team while doing it.

We strive to create an environment where employees from all backgrounds are respected. We also offer:

• Competitive healthcare benefits

• Generous equity compensation

• Unlimited vacation

• Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)

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Key responsibilities include engineering, securing and optimizing cloud infrastructure, Identity and Access Management, Endpoints, Collaboration tools, and ensuring compliance with SOX, PCI DSS, and FedRAMP compliance. The Head of Corporate Engineering will work closely with R&D on managing engineering tools like Jira, Confluence, and GitHub, driving efficient adoption and integration.

Strong technical and influencing leadership principles coupled with the ability to manage a complex, scaling, and fast-moving enterprise environment are essential. This role reports directly to the Vice President, Infrastructure and Operations

Responsibilities:

In this influential role, you will be responsible for:

Securing the Enterprise: Working closely with Enterprise Security organization to harden and secure our cloud environments, secret management, collaboration tools, endpoints, SaaS environments, IAM tools, and more. Success measured in continuous improvement of our enterprise security hardening standards

Building and Scaling our Cloud Infrastructure: Your team will be responsible for establishing and implementing enterprise cloud infrastructure including establishing Infrastructure Provisioning, SRE services, 24/7 on-call support, Infra as Code, observability, and more. In addition, you will be responsible for managing cloud budgets, vendor management, and establishing cost optimization initiatives. Success is measured in increased developer velocity while securing & scaling the cloud infrastructure

Engineering Tooling: Partner closely with R&D teams to establish policies, configurations, run-books, SLAs, hardening, scalability and availability of engineering tools like Github, Jira, Atlassian, and more

Endpoint Engineering: Enable extreme automation for endpoint management with zero-touch deployment, observability (synthetic and real-time), provisioning/de-provisioning, and establishing standards / SLAs. Enforce security policies, configure & manage security settings and ensure compliance across all endpoints and mobile devices. Success is measured in terms of end-user satisfaction and % of manual touch

Collaboration Management: Ensure we provide world class tools to our employees to be extremely productive and collaborative. This would include but not be limited to managing and scaling internal workplace products like Gmail, Slack, Atlassian, Moveworks, Glean, and more. Success is measured by user satisfaction

Identity & Access Management: Manage the IAM team from IAM implementation, access standards enforcement, SLA management, and compliance to various standards like FedRAMP, IL5, PCI, and more. Included are both internal and external identity providers to be managed. Success is measured by compliance, Identity governance, and availability

Desired Success Outcomes

A high-performing enterprise engineering team capable of handling complex technical projects with agility and high quality

Well defined cloud strategy ensuring the stability, scalability, and security of cloud infrastructure. Overhaul of current processes and workflows to address inefficiencies and increase team velocity

Robust endpoint security with Implementation of comprehensive security measures for all endpoints, including Mac, Windows, and mobile devices

Deliver high-quality employee experience with productivity tools (Gmail, Slack, Atlassian tools, Moveworks, GitHub) with a robust forward-looking roadmap

Efficient operational support for Tier 3 IT services with minimized production incidents. Implementation of robust incident and change management processes with mature operational practice

Efficient and mature processes for system integrations related to Mergers and Acquisitions (M&As), ensuring timely smooth transitions during M&A integrations

Development and implementation of automation tools and frameworks, Identification of automation opportunities to reduce manual toil and improve accuracy

Qualifications:

10 years of experience managing Cloud infrastructure at large enterprises. Extensive experience managing public cloud implementations in AWS. Experience with GCP and Azure will be a plus

In-depth understanding of Cloud native technologies to lead and guide the team. Must have hands-on experience in troubleshooting and debugging issues in production environments

Working experience in managing DevOps/SRE practices OKRs (Objective and Key Results), Agile development, Infra-as-code, SRE (Site Reliability Engineering), DevOps measurement such as DORA KPIs,

In-depth understanding of each collaboration tool's features, functionalities, and configurations (e.g., Gmail for email, Slack for messaging). Ability to identify and integrate and optimize the use of various tools for seamless collaboration (e.g., connecting Jira with GitHub for Dev metrics)

Experience leading a team of senior professionals working asynchronously in a remote, distributed team. Strong communication skills, with clear verbal communication and written communication skills

Collaborative style: partners well with cross-functional teams to solve hard problems and to complete complex deliverables with quality and business outcomes

Provide mentorship and guidance to team members to ensure that their skills and knowledge are kept up-to-date

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Zone 1 Pay Range $265,000-$364,300 USD

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At Labelbox, we're building the critical infrastructure that powers breakthrough AI models at leading research labs and enterprises. Since 2018, we've been pioneering data-centric approaches that are fundamental to AI development, and our work becomes even more essential as AI capabilities expand exponentially.

We're the only company offering three integrated solutions for frontier AI development:

• Enterprise Platform & Tools: Advanced annotation tools, workflow automation, and quality control systems that enable teams to produce high-quality training data at scale

• Frontier Data Labeling Service: Specialized data labeling through Alignerr, leveraging subject matter experts for next-generation AI models

• Expert Marketplace: Connecting AI teams with highly skilled annotators and domain experts for flexible scaling

Why Join Us

• High-Impact Environment: We operate like an early-stage startup, focusing on impact over process. You'll take on expanded responsibilities quickly, with career growth directly tied to your contributions.

• Technical Excellence: Work at the cutting edge of AI development, collaborating with industry leaders and shaping the future of artificial intelligence.

• Innovation at Speed: We celebrate those who take ownership, move fast, and deliver impact. Our environment rewards high agency and rapid execution.

• Continuous Growth: Every role requires continuous learning and evolution. You'll be surrounded by curious minds solving complex problems at the frontier of AI.

• Clear Ownership: You'll know exactly what you're responsible for and have the autonomy to execute. We empower people to drive results through clear ownership and metrics.

Role Overview

We’re looking for a Full-Stack AI Engineer to join our team, where you’ll build the next generation of tools for developing, evaluating, and training state-of-the-art AI systems. You will own features end to end,from user-facing experiences and APIs to backend services, data models, and infrastructure.

You’ll be at the heart of our applied AI efforts, with a particular focus on human-in-the-loop systems used to generate high-quality training data for Large Language Models (LLMs) and AI agents. This includes building a platform that enables us and our customers to create and evaluate data, as well as systems that leverage LLMs to assist with reviewing, scoring, and improving human submissions.

Your Impact

• Own End-to-End Product Features

Design, build, and ship complete workflows spanning frontend UI, APIs, backend services, databases, and production infrastructure.

• Enable Human-in-the-Loop AI Training

Build systems that allow humans to efficiently create, review, and curate high-quality training and evaluation data used in AI model development.

• Support RLHF and Preference Data Workflows

Design and implement tooling that supports RLHF-style pipelines, including task generation, human review, scoring, aggregation, and dataset versioning.

• Leverage LLMs in the Review Loop

Build systems that use LLMs to assist human reviewers,such as automated checks, critiques, ranking suggestions, or quality signals,while maintaining human oversight.

• Advance AI Evaluation

Design and implement evaluation frameworks and interactive tools for LLMs and AI agents across multiple data modalities (text, images, audio, video).

• Create Intuitive, Reviewer-Focused Interfaces

Build thoughtful, efficient user interfaces (e.g., in React) optimized for high-throughput human review, quality control, and operational workflows.

• Architect Scalable Data & Service Layers

Design APIs, backend services, and data schemas that support large-scale data creation, review, and iteration with strong guarantees around correctness and traceability.

• Solve Ambiguous, Real-World Problems

Translate loosely defined operational and research needs into practical, scalable, end-to-end systems.

• Ensure System Reliability

Participate in on-call rotations to monitor, troubleshoot, and resolve issues across the full stack.

• Elevate the Team

Improve engineering practices, development processes, and documentation. Share knowledge through technical writing and design discussions.

What You Bring

• Bachelor’s degree in Computer Science, Data Engineering, or a related field.

• 2+ years of experience in a software or machine learning engineering role.

• A proactive, product-focused mindset and a high degree of ownership, with a passion for building solutions that empower users.

• Experience using frontend frameworks like React/Redux and backend systems and technologies like Python, Java, GraphQL; familiarity with NodeJS and NestJS is a plus.

• Knowledge of designing and managing scalable database systems, including relational databases (e.g., PostgreSQL, MySQL), NoSQL stores (e.g., MongoDB, Cassandra), and cloud-native solutions (e.g., Google Spanner, AWS DynamoDB).

• Familiarity with cloud infrastructure like GCP (GCS, PubSub) and containerization (Kubernetes) is a plus.

• Excellent communication and collaboration skills.

• High proficiency in leveraging AI tools for daily development (e.g., Cursor, GitHub Copilot).

• Comfort and enthusiasm for working in a fast-paced, agile environment where rapid problem-solving is key.

Bonus Points

• Experience building tools for AI/ML applications, particularly for data annotation, monitoring, or agent evaluation.

• Familiarity with data infrastructure components such as data pipelines, streaming systems, and storage architectures (e.g., Cloud Buckets, Key-Value Stores).

• Previous experience with search engines (e.g., ElasticSearch).

• Experience in optimizing databases for performance (e.g., schema design, indexing, query tuning) and integrating them with broader data workflows.

Engineering at Labelbox

At Labelbox Engineering, we're building a comprehensive platform that powers the future of AI development. Our team combines deep technical expertise with a passion for innovation, working at the intersection of AI infrastructure, data systems, and user experience. We believe in pushing technical boundaries while maintaining high standards of code quality and system reliability. Our engineering culture emphasizes autonomous decision-making, rapid iteration, and collaborative problem-solving. We've cultivated an environment where engineers can take ownership of significant challenges, experiment with cutting-edge technologies, and see their solutions directly impact how leading AI labs and enterprises build the next generation of AI systems.

Our Technology Stack

Our engineering team works with a modern tech stack designed for scalability, performance, and developer efficiency:

• Frontend: React.js with Redux, TypeScript

• Backend: Node.js, TypeScript, Python, some Java & Kotlin

• APIs: GraphQL

• Cloud & Infrastructure: Google Cloud Platform (GCP), Kubernetes

• Databases: MySQL, Spanner, PostgreSQL

• Queueing / Streaming: Kafka, PubSub

Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected annual base salary range for United States-based candidates is below. This range is not inclusive of any potential equity packages or additional benefits. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location.

Annual base salary range $130,000-$200,000 USD

Life at Labelbox

• Location: Join our dedicated tech hubs in San Francisco or Wrocław, Poland

• Work Style: Hybrid model with 2 days per week in office, combining collaboration and flexibility

• Environment: Fast-paced and high-intensity, perfect for ambitious individuals who thrive on ownership and quick decision-making

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Develop and execute manual and automated test plans, test cases, and test scripts for Software & Firmware products. Perform thorough functional, regression, and user acceptance testing Identify, document, and track software/firmware defects Collaborate with developers to debug issues and verify fixes Contribute to continuous improvement of testing methodologies

Bachelor's degree in Computer Science, Engineering, or related field 3+ years of experience in software quality assurance Familiarity with agile development methodologies Testing in Linux and Windows environment Attention to detail and ability to work in a fast-paced environment Experience with Git and common platforms like Github or Bitbucket Experience with bug tracking systems (e.g., JIRA, Bugzilla) Strong debugging, analytical and creative problem-solving skills Excellent communication and teamwork abilities Aptitude for learning, Good documentation skills Ability to adapt & contribute to changing priorities. Eligible to obtain and maintain an active U.S. Secret security clearance

Basic proficiency in Python Familiarity of automated testing frameworks such as Pytest Automated UI testing tools like Playwright or Selenium is a plus. Backend testing experience

US Salary Range $113,000-$149,000 USD

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As a Software Engineer on our Engineering Productivity team, you'll work on tooling and automation that improves the productivity of all of Dialpad's engineers. Given that your customers are other engineers at Dialpad, you'll be able to positively impact the lives of those who work closely with you.

Responsibilities

• Own tooling and automations that make engineers more efficient and happy
• Partner with engineers to solve bottlenecks
• Research industry best practices in the engineering productivity space, with a focus on enablement rather than micromanagement

Requirements

• 1-2 years of experience with CI/CD systems or equivalent
• Excitement for automating complex coding, deployment, debugging, and observing workflows
• Bachelor's in Computer Science or related field, or equivalent in experience
• Experience working with Python is a plus
• Experience working with GitHub and GitHub Actions is a plus
• Experience with Claude skill writing is a plus

Why Join Dialpad

• Work at the center of the AI transformation in business communications
• Build and ship agentic AI products that are redefining how companies operate
• Join a team where AI amplifies every employee's impact
• Competitive salary, comprehensive benefits, and real opportunities for growth

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Key responsibilities include:

• Engineering GTM tools: Architect and deploy production-ready agents using the Cloudflare stack (Workers, Agents SDK, Sandbox SDK, Durable Objects etc..).
• AI enablement: Design autonomous workflows using Workers AI and Vectorize (RAG) to automate technical case studies, sales enablement, and event messaging.
• Rapid development: Utilize AI coding assistants (Claude Code, Windsurf, or OpenCode) to move from concept to a shipped internal tool in weeks.
• Technical ownership: Partner with sales/marketing to identify gaps, then build, launch, and manage the internal lifecycle of your technical solutions.

Requirements include:

• Currently pursuing a degree or program in CS or Engineering with a focus on building functional systems.
• Ability to commit to a minimum 12-week summer internship.
• In-office 3-5 days a week in Austin.
• Strong skills in TypeScript/JavaScript, React, and Tailwind CSS, with experience building/consuming RESTful APIs and working with SQL or NoSQL databases.
• Proficiency with Git/GitHub and hands-on experience with AI coding environments (Claude Code, Windsurf, or OpenCode).

Nice-to-have skills include Cloudflare Native and Startup Experience.

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You will design, develop, and maintain robust CI/CD pipelines to automate the deployment of our lowside and highside products. You will collaborate closely with product and engineering teams to enhance existing application code for improved compatibility and streamlined integration within automated pipelines.

Contribute to the overall architecture and design of our deployment systems, bringing new ideas to life for increased efficiency and reliability. Troubleshoot and resolve complex deployment issues, ensuring minimal disruption to development cycles.

Develop a deep understanding of our product and ML architectures to facilitate seamless integration and deployment. Document pipeline processes and configurations to ensure maintainability and knowledge transfer.

Proactively incorporate security best practices into all stages of the CI/CD pipeline, building security into our development processes. Drive standardization and foster collaboration across different product teams to achieve a unified and efficient SDLC.

We are looking for experienced DevOps Engineers, DevSecOps Engineers, Software Engineers with a strong focus on CI/CD, or a similar role. You should have a proven track record of building or significantly enhancing CI/CD pipelines.

Experience configuring and adapting application code to integrate seamlessly with evolving CI/CD environments is a plus. Familiarity with standard containerization & deployment technologies like Kubernetes, Terraform, Docker, etc. is also required.

We offer a competitive salary range of $245,600-$307,000 USD, comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. This role may be eligible for additional benefits such as a commuter stipend.

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You will design and maintain trustworthy data models for core marketing metrics, manage the full lifecycle from prototyping through production, and develop and govern dbt data pipelines. You will also build and optimize dashboards that deliver real-time, self-serve insights across high-priority marketing areas, drive data independence for Marketing stakeholders, and collaborate with the Marketing team and data partners to establish the AI Business Context layer for marketing use cases.

You will serve as the primary data partner for marketing managers, demand generation teams, and leadership, translating complex data insights into clear business recommendations via dashboards, memos, and presentations. You will achieve a comprehensive mastery of Airtable's marketing data models, existing pipelines, and BI tools within the first 6 months, becoming the definitive internal expert.

This is a genuinely AI-native role, requiring active, demonstrated daily use of AI coding tools such as Cursor, Claude, ChatGPT, and Gemini. You must provide specific, concrete examples of how these tools are integral to your work, moving beyond simple familiarity.

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As a Productivity Platforms Developer, you will support the day-to-day administration and improvement of CoreWeave's collaboration and work management tools. You'll work closely with experienced engineers to maintain system reliability, troubleshoot issues, and implement enhancements that improve team workflows. This role involves hands-on configuration, user support, and exposure to automation and integrations.

Responsibilities

• Support the administration and improvement of CoreWeave's collaboration and work management tools
• Work closely with experienced engineers to maintain system reliability, troubleshoot issues, and implement enhancements
• Configure and manage tools such as Jira, Confluence, Asana, and similar systems
• Develop and implement automation and integrations to improve team workflows

Requirements

• 1–3 years of experience working with SaaS platforms or internal tools
• Hands-on experience administering or configuring tools such as Jira, Confluence, Asana, or similar systems
• Experience writing scripts or code in at least one language (e.g., Python)
• Basic understanding of REST APIs and ability to interact with APIs programmatically
• Experience managing users, roles, and permissions in a SaaS environment

Preferred

• Experience building automations or integrations between SaaS platforms
• Familiarity with Agile frameworks such as Scrum or Kanban
• Experience working with tools like Slack, GitHub, or similar collaboration platforms

What We Offer

• Competitive salary range: $109,000 to $160,000
• Discretionary bonus
• Equity awards
• Comprehensive benefits program

Experience Level: entry Employment Type: full-time Workplace Type: hybrid Category: Engineering Industry: Technology Salary Range: $109,000 to $160,000 Required Skills:

• SaaS platforms
• Jira
• Confluence
• Asana
• Python
• REST APIs

Preferred Skills:

• Automations
• Integrations
• Agile frameworks
• Slack
• GitHub

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You'll partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. Ensure reliability of multi-cloud Kubernetes clusters and pipelines. Implement metrics, logging, analytics, and alerting for performance and security across all endpoints and applications. Automate operations and engineering, focusing on automation so we can spend energy where it matters.

You'll also build machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

We're looking for someone with 5+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field. You should have deep proficiency with coding languages such as Golang or Python, and deep familiarity with container-related security best practices. Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns. Experience with GPU-enabled clusters is a bonus.

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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Some of the key responsibilities of this role include:

• Partnering with Product and Engineering to ensure that our application is designed and developed securely
• Participating in the implementation efforts, doing security reviews, helping with product design decisions, auditing and surfacing vulnerabilities in our current products
• Developing and improving our automated tooling to scale our application security capabilities and find potential code problems both before and after we deploy
• Making the safe way, the easy way, by working on defining and building application guardrails so that developers can build securely by default
• Assisting in ongoing security operations, including incident response, vulnerability management, penetration testing, security reviews, and other operational tasks to ensure that our security program is operating at a world-class level

We use a variety of tools and technologies, including Cloud Security: Lacework, Languages: Python 3, TypeScript, Libraries: FastAPI, SQLAlchemy, React, Datastores: Postgres, Redis, Infrastructure: AWS (Fargate, ECS, S3, and more), Spark and Kafka, Monitoring: Datadog, PagerDuty, Version Control: Github, Vulnerability Management: Snyk, Semgrep

If you have 0 → 1 security experience, strong cross-functional experience, strong technical depth and breadth, thrive in ambiguity, innovation at scale, results-driven, and mission-driven, you'll be great for this role.

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The Cybersecurity / SRE team at xAI is focused on ensuring the security and reliability of X Money. This role will primarily focus on the X Money platform but will also cross over with the X Social platform.

You'll be responsible for securing and maintaining the reliability of X Money's infrastructure. You'll work closely with cross-functional teams to enhance security measures, improve system resilience, and implement best practices.

Responsibilities

• Build and secure mission-critical applications in a hybrid cloud environment.
• Manage identities and roles effectively.
• Monitor and remediate infrastructure to comply with regulations and best practices (e.g., PCI, NIST CSF).
• Maintain a SIEM and all data pipelines needed for reliable alerting.
• Design and implement secure container standards and automation to enable frictionless developer workflows.
• Maintain Kubernetes security aligned with current best practices.
• Build, deploy, and maintain security operations infrastructure using Python, Terraform, and Puppet.
• Secure and enhance CI/CD pipelines.
• Integrate and maintain code scanning platforms.
• Develop dashboards and alerts from security metrics.
• Own security projects: identify issues and implement solutions.
• Apply critical analysis and problem-solving skills.

Basic Qualifications

• Proven experience securing hybrid AWS/on-premises environments, including IAM and overall security posture.
• Strong proficiency in Python, Terraform, and Puppet.
• Certifications like CISA, CRISC, CGEIT, Security+, CASP+, or similar preferred.
• Deep expertise in Kubernetes and container security.
• Hands-on expertise building GitHub Actions and workflows.
• Extensive experience with Prometheus, Grafana, CloudWatch, and Karma.
• Well versed in management and integrations of Wazuh
• Hands-on experience with security scanning tools (Semgrep, Trivy, Falco).
• Proactive mindset with strong ownership and problem-solving skills.
• Excellent critical thinking and analytical abilities.

Compensation and Benefits

$180,000 - $440,000 USD

Base salary is just one part of our total rewards package at xAI, which also includes equity, comprehensive medical, vision, and dental coverage, access to a 401(k) retirement plan, short & long-term disability insurance, life insurance, and various other discounts and perks.

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We're looking for a Staff Software Engineer to join our Quality and Release Platform (QARP) team and lead the technical direction of the platforms that power how dbt Labs builds, tests, and ships software.

Our mission spans two critical areas: release engineering , making it easy for engineers to ship changes quickly, safely, and reliably , and code quality , building a platform that raises the bar for code quality across all of dbt Labs engineering.

In this role, you'll work with tools like Helm, ArgoCD, Terraform, Python, GitHub Actions, and Kargo to architect and scale our deployment systems, while also helping design and build the tooling, frameworks, and automation that enable engineering teams to consistently produce high-quality code.

This is a high-impact, staff-level role where you'll set architectural direction, mentor engineers, and drive initiatives that improve developer velocity, code quality, and reliability across the entire engineering organization.

Responsibilities

• Define and drive the technical strategy and architecture for our CI/CD platform, release management systems, and code quality platform.

• Design and build tooling, frameworks, and automation that help engineering teams maintain and improve code quality across the organization.

• Lead high-impact initiatives that improve automation, observability, and self-service capabilities for engineers across the organization.

• Mentor and level up other engineers on the team, fostering a culture of technical excellence and continuous improvement.

• Collaborate across teams and with engineering leadership to identify systemic challenges in our delivery and quality processes and architect solutions to address them.

• Evolve our release architecture to support dbt Cloud's multi-cloud, cell-based infrastructure at scale.

• Establish best practices and standards for build pipelines, release workflows, code quality, and infrastructure-as-code that are adopted across engineering.

• Serve as a thought leader in engineering's internal AI strategy , evaluating AI-assisted development tools, defining adoption practices and guardrails, and enabling developers to use AI effectively across the org.

Requirements

• 8+ years of software engineering experience, with significant time in platform, infrastructure, release engineering, or developer tooling.

• A track record of leading technical strategy and architecture for complex, production-scale CI/CD, code quality, or platform systems.

• Deep experience with one or more of the following: Helm, ArgoCD, Terraform, GitHub Actions, or Kubernetes.

• Strong background in Python, Go, or Rust for automation, platform tooling, or systems development.

• Passion for code quality and experience building or improving tools, linters, static analysis, testing frameworks, or CI checks that help teams write better code.

• Demonstrated ability to drive cross-team initiatives and influence engineering-wide practices and standards.

• Excellent communication skills , able to translate complex technical concepts for diverse audiences and lead through influence.

• Demonstrated interest or hands-on experience with AI-assisted development tools and practices, with a perspective on how AI can improve engineering productivity and code quality.

• Experience working asynchronously as part of a fully remote, distributed team.

Preferred Qualifications

• Experience with Kargo or similar progressive delivery systems.

• Hands-on experience with multi-cloud architectures (AWS, GCP, Azure).

• Experience building code quality platforms, static analysis tooling, or testing infrastructure at scale.

• Experience defining and rolling out engineering-wide code quality standards or best practices.

• A track record of improving developer productivity or release safety across a large engineering organization.

• Experience mentoring engineers and shaping team culture in a staff or principal-level role.

• Track record of evaluating, championing, and rolling out AI developer tools (e.g., Copilot, Cursor, Claude Code) within an engineering organization.

• Experience defining guidelines, guardrails, or best practices for AI-assisted development.

Compensation & Benefits

Salary: We offer competitive compensation packages commensurate with experience, including salary, equity, and where applicable, performance-based pay.

In select locations (including Boston, Chicago, Denver, Los Angeles, Philadelphia, New York Metro, San Francisco, DC Metro, Seattle, Austin), an alternate range may apply, as specified below.

• The typical starting salary range for this role is: $207,000 - $251,000 USD

• The typical starting salary range for this role in the select locations listed is: $230,000 - $279,000 US

Equity Stake Benefits

• dbt Labs offers: unlimited vacation, 401k w/3% guaranteed contribution, excellent healthcare, paid parental leave, wellness stipend, home office stipend, and more!

Our Hiring Process

• Interview with a Talent Acquisition Partner (30 Mins)

• Technical Interview with Hiring Manager (60 Mins)

• Team Interviews - Technical (3 rounds, 60 Mins each)

• Values Interview (30 Mins)

#LI_RC1

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You will partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.

Ensure reliability of multi-cloud Kubernetes clusters and pipelines.

Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.

Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.

Automate operations and engineering.

Focus on automation so we can spend energy where it matters.

Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

We are looking for a highly skilled engineer with 5+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.

Deep proficiency with coding languages such as Golang or Python.

Deep familiarity with container-related security best practices.

Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns.

Experience with GPU-enabled clusters is a bonus.

Production experience with Kubernetes templating tools such as Helm or Kustomize.

Production experience with IAC tools such as Terraform or CloudFormation.

Production experience working with AWS and services such as IAM, S3, EC2, and EKS.

Production experience with other cloud providers such as Google Cloud and Azure is a bonus.

Production experience with database software such as PostgreSQL.

Experience with GitOps tooling such as Flux or Argo.

Experience with CI/CD such as GitHub Actions.

Perks and benefits include paid parental leave, monthly health and wellness allowance, and PTO.

Compensation includes a base salary, equity, and a variety of benefits.

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As a collaborative but highly autonomous working environment, each member has a defined role with clear expectations, as well as the freedom to pursue projects they find interesting.

Responsibilities:

• Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
• Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
• Metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
• Infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
• Automate operations and engineering. Focus on automation so we can spend energy where it matters.
• Building machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

What we are looking for:

• 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
• Deep proficiency with coding languages such as Golang or Python.
• Deep familiarity with container-related security best practices.
• Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns.
• Experience with GPU-enabled clusters is a bonus.
• Production experience with Kubernetes templating tools such as Helm or Kustomize.
• Production experience with IAC tools such as Terraform or CloudFormation.
• Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
• Production experience with other cloud providers such as Google Cloud and Azure is a bonus.
• Production experience with database software such as PostgreSQL.
• Experience with GitOps tooling such as Flux or Argo.
• Experience with CI/CD such as GitHub Actions.

Perks & Benefits:

• We offer Cresta employees a variety of medical benefits designed to fit your stage of life.
• Flexible vacation time to promote a healthy work-life blend.
• Paid parental leave to support you and your family.

Compensation for this position includes a base salary, equity, and a variety of benefits. Actual base salaries will be based on candidate-specific factors, including experience, skillset, and location, and local minimum pay requirements as applicable.

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You will partner with engineers to build dev tools that empower developer workflows and deployment infrastructure. You will ensure the reliability of multi-cloud Kubernetes clusters and pipelines. You will also implement metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.

You will focus on automation so we can spend energy where it matters. You will build machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.

We're looking for someone with 5+ years of experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field. You should have deep proficiency with coding languages such as Golang or Python. You should also have deep familiarity with container-related security best practices.

Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem, including popular open-source tooling such as cert-manager or external-dns, is required. Experience with GPU-enabled clusters is a bonus.

Production experience with Kubernetes templating tools such as Helm or Kustomize, and production experience working with IAC tools such as Terraform or CloudFormation, is a plus.

Production experience working with AWS and services such as IAM, S3, EC2, and EKS, and production experience with other cloud providers such as Google Cloud and Azure, is a bonus.

Experience with GitOps tooling such as Flux or Argo, and experience with CI/CD such as GitHub Actions, is a plus.

Compensation for this position includes a base salary, equity, and a variety of benefits.

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

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

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

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

Being a Dialer

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

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

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

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

The Role

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

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

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

What You’ll Do

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

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

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

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

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

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

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

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

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

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

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

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

What You’ll Bring

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

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

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

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

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

• Experience working in cloud-native, distributed environments.

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

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

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

Technologies Utilised

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

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

Why Join Dialpad

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

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

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

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

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

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

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

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

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

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Day-to-day, you’ll work on scaling infrastructure, improving deployment pipelines, and hardening our security posture. You’ll play a key role in evolving our DevSecOps practices while partnering closely with engineering teams to ensure services are built for reliability from day one.

We operate with production-grade discipline, supporting mission-critical services with stringent uptime requirements and a focus on automation, observability, and resilience.

The Platform & Infrastructure Engineering team in the Data Infrastructure organization is responsible for the reliability, scalability, and security of the company’s data platform. The team builds and operates the foundational systems that power data ingestion, transformation, analytics, and internal AI workloads at scale.

About the role:

• 5+ years of experience in Site Reliability Engineering, Platform Engineering, or Infrastructure Engineering roles
• Deep expertise in Kubernetes and containerized software services, including cluster design, operations, and troubleshooting in production environments
• Strong experience building and operating CI/CD systems, including tools such as Argo CD and GitHub Actions
• Proven experience owning production systems with high availability requirements (≥99.99% uptime), including incident response, SLI/SLO/SLA definition, error budgets, and postmortems
• Hands-on experience designing and operating geo-replicated, multi-region, active-active systems, including traffic routing, failover strategies, and data consistency tradeoffs
• Strong experience building and owning observability components, including metrics, logging, and tracing (e.g., Prometheus, Grafana, OpenTelemetry).
• Experience with infrastructure as code (e.g., Helm, Terraform, Pulumi) and automated environment provisioning
• Strong understanding of system performance tuning, capacity planning, and resource optimization in distributed systems
• Experience implementing and operating security best practices in cloud-native environments (e.g., secrets management, network policies, vulnerability scanning)

Preferred:

• Experience operating data platforms or data-intensive workloads (e.g., Spark, Airflow, Kafka, Flink)
• Familiarity with service mesh technologies (e.g., Istio, Linkerd)
• Experience working in regulated environments with compliance frameworks such as GDPR, SOC 2, HIPAA, or SOX
• Background in building internal developer platforms or self-service infrastructure

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.

Here are a few qualities we’ve found compatible with our team. If some of this describes you, we’d love to talk.

• You love building highly reliable systems that operate at scale
• You’re curious about how to continuously improve system resilience, security, and operations
• You’re an expert in diagnosing and solving complex distributed systems problems

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 $165,000 to $242,000. 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.

California Consumer Privacy Act - California applicants only

CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace.

All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship.

If reasonable accommodation is needed, please contact: careers@coreweave.com.

Export Control Compliance

This position requires access to export controlled information.

To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without restrictions, or (C) otherwise exempt from the export regulations.

If you are not a U.S. person, you will be required to provide documentation of your eligibility to access the export controlled information before being considered for this position.

Please note that CoreWeave is subject to the requirements of the U.S. Department of Commerce's Export Administration Regulations (EAR) and the U.S. Department of State's International Traffic in Arms Regulations (ITAR).

By applying for this position, you acknowledge that you have read and understood the export control requirements and that you will comply with them.

If you have any questions or concerns regarding the export control requirements, please contact: careers@coreweave.com.

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You'll conduct hands-on penetration testing, lead red team engagements, and collaborate with blue team counterparts to validate and improve detection and response capabilities. Your work will directly influence how Stripe builds, ships, and secures financial infrastructure used by millions of businesses worldwide.

Responsibilities:

Conduct comprehensive penetration tests across web applications, APIs, cloud environments (AWS/GCP/Azure), mobile applications, and internal infrastructure.

Plan and execute red team engagements that emulate the TTPs of cyber and criminal threat actors targeting financial services, including initial access, lateral movement, persistence, and data exfiltration scenarios.

Perform assumed-breach and objective-based assessments to test detection and response capabilities in coordination with defensive teams.

Partner with detection engineering, threat intelligence, and incident response teams to validate security controls, identify coverage gaps, and improve detection fidelity.

Contribute adversary tradecraft insights to inform detection rule development, threat hunting hypotheses, and incident response playbooks.

Support incident investigations by providing offensive expertise, log analysis, and root cause analysis when required.

Design, develop, and maintain custom offensive tools, scripts, and automation frameworks to enhance assessment efficiency and coverage.

Build internal platforms and workflows that enable scalable, repeatable offensive operations.

Contribute to internal security tooling repositories and champion engineering best practices within the team.

Automate repetitive testing tasks, payload generation, and reporting workflows using modern development practices.

Produce clear, actionable reports that communicate technical findings, business risk, and remediation guidance to both technical and non-technical stakeholders.

Act as a subject-matter expert and primary point of contact for stakeholder teams engaged in offensive security programs and Stripe-wide security initiatives.

Lead offensive security projects end-to-end, mentor junior team members, and foster a culture of continuous learning and knowledge sharing.

Stay current with emerging threats, vulnerabilities, and attack techniques; share research internally and contribute to the broader security community.

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The ideal candidate will have a minimum of 7 years of experience in a software or infrastructure engineering industry, deep experience operating services in production and at scale, proficiency in Go as your primary programming language, strong experience with infrastructure-as-code, CI/CD systems (e.g., GitHub Actions, ArgoCD), and containerization (e.g., Docker, Kubernetes), expertise in leading scale system design, scalability, and efficiency, experience with third-party vendors like Artifactory, and passion for improving developer experience and enabling other engineers to do their best work.

In addition to the required skills, preferred skills include experience integrating or enabling tools that leverage LLMs or code intelligence for developers (e.g., GitHub Copilot, Cody, custom LLM integrations), experience with KubeVirt, KataContainers, and experience with LangGraph/LangChain.

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In this role, you will be responsible for designing and developing customizations, extensions, configurations, and integrations required to meet the company’s strategic business objectives. You will work collaboratively with Engineering Managers, business stakeholders, Product Owners, Program analysts, and engineers on different program design, development, deployment, and support.

Core competencies expected of a Staff Engineer include operating with a high degree of autonomy, technical leadership, and project ownership. This includes architectural ownership and design, project and delivery leadership, mentorship and technical bar-setting, cross-functional influence, and future-forward technical skills.

High-value skills include the ability to build Agents using Agentforce or by leveraging open source libraries to build agents, proficiency in using GitHub Copilot or Cursor or AI workflow orchestration tools, and strategic influence on technology roadmap.

Qualifications include 7+ years of software development experience with experience in Java, Python, or equivalent, 5+ years' hands-on Salesforce development with solid knowledge of Apex, Process Automation, and LWC, and experience in architecture, design, and implementation of various high-complexity projects/programs for Sales Cloud, CPQ, Service Cloud Console, etc.

Our team is collaborative, innovative, and flexible, and we consider work-life balance a top priority.

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Investing in our people is one of our top priorities, and we value candidates who can bring their diversified experiences to our teams. We're looking for someone with proven experience provisioning Kubernetes using tools such as kubeadm, Cluster API, Kubeception, Kubespray, or similar, demonstrated ability debugging complex kubernetes cluster issues and carrying out upgrades, proficiency in Golang, Bash, and Python, advanced Linux OS troubleshooting skills, extensive experience with Ansible, advanced DevOps experience (e.g., GitLab CI, GitHub Actions), demonstrated ability to collaborate effectively on shared codebases, excellent documentation skills and high attention to detail, strong analytical and problem-solving abilities, and experience participating in an on-call rotation to support production services.

The base salary range for this role is $182,000 to $242,000. 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).

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

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As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years.

The successful candidate will partner with the Salesforce Product Manager to ensure that the Salesforce GovCloud platform is fully aligned with business objectives by maximizing the platforms capabilities and architecting scalable solutions.

Key responsibilities include designing and customizing Salesforce solutions on Salesforce Government Cloud Plus, supporting CRMA and configuring new analytics dashboards, managing and creating data recipes as needed, collaborating with developers to implement custom solutions when necessary, developing and maintaining technical documentation, automating business processes using Salesforce automation tools, building integrations between Salesforce and external applications, and providing support to end-users.

The ideal candidate will have 5-7 years of total IT experience with at least 4+ years of Salesforce platform development experience, a strong foundation in Object-Oriented Programming (OOP) principles, proven experience with CI/CD version control systems, including GitHub, and experience with FFLIB (Apex Common Framework).

Additional requirements include strong debugging and performance optimization skills in Salesforce environments, proven integration experience using integration techniques, REST, SOAP APIs, oAuth and SSO, experienced in Standard/Custom Object creation and relationships, excellent analytical and problem-solving skills with keen attention to detail, knowledge of software development lifecycle and DevOps tools, and strong communication and interpersonal skills to effectively collaborate with diverse teams.

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The ideal candidate will have deep knowledge of current privacy and technology trends, with a strong passion for data governance/management and AI/ML. They will have demonstrated experience in ensuring privacy-by-design principles are applied throughout the design, construction, and operation of digital products and services at scale.

Responsibilities include leading high-impact initiatives and defining technical requirements for compliance and the responsible use of technology at Airbnb. The candidate will work closely with the Chief Privacy Officer, Legal, and other Privacy & Data Security Team members, as well as engineering and data science teams.

Key responsibilities include:

• Collaborating with technical teams in the identification and effective management of company-wide risks to privacy and the responsible use of technology
• Leading definition and implementation of company-wide standards, practices, and patterns to protect and manage personal data in accordance with privacy and AI regulations
• Working with Legal, Data Science, Data Governance, and InfoSec to introduce Privacy by Design principles in company products and infrastructure
• Creating privacy training for technical roles, including data engineers, developers, and data scientists

Requirements include:

• 15+ years of total experience, with 5+ years of experience in technical program/project management or privacy engineering focused on building technology products and/or systems
• Deep understanding of large-scale, “Big Data” data stores and technologies
• Strong familiarity with the AI/ML development lifecycle: from data collection and curation, through model architecture selection, training, testing, A/B testing, and deployment
• Solid understanding of Large Language Models (LLMs), Generative AI and AI Agents, including compliance and responsible use challenges arising from their deployment in B2C services
• Strong familiarity with Privacy Enhancing Technologies (PETs), such as various types of encryption, de-identification methods (e.g., k-anonymity, differential privacy), and AI/ML interpretability techniques (e.g., SHAP, LIME)

Preferred qualifications include:

• Professional certifications such as Certified Information Privacy Professional (CIPP), Certified Information Privacy Manager (CIPM), or AI Governance Professional (AIGP) or equivalent
• BA/BS and/or advanced degree in engineering, computer science, mathematics, statistics, physics, or a related field
• Experience with programming languages and tools commonly used in AI, such as R, Python and Github

This position is US - Remote Eligible. The role may include occasional work at an Airbnb office or attendance at offsites, as agreed to with your manager.

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Key responsibilities include:

• Developing and maintaining a detailed project and execution plan, including feature development, testing and validation, deployment, and monitoring.
• Establishing clear objectives and deliverables for the software that align with program needs.
• Maintaining a deep understanding of underlying algorithms and software interfaces for radar processing, target tracking, detection, classification, and sensor fusion to ensure that the relevant services integrate effectively with the larger system.
• Staying updated on the latest techniques to work with subject matter experts in incorporating relevant innovations into the project plan.
• Ensuring comprehensive documentation is maintained for the project, including technical specifications, user manuals, and project reports.
• Overseeing the planning and execution of the software release process, ensuring that deployment is carried out smoothly and efficiently.
• Serving as the primary point of contact for all project-related communications, internally across teams and externally with stakeholders.

The ideal candidate will have 5+ years of experience and a Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field. They will also have extensive project management experience, preferably in software development for radar systems or advanced signal processing algorithms.

Salary: $111,000-$147,000 USD per year.

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The position is responsible for building, maintaining, and implementing automated and manual tests, collaborating closely with Agile teams, and improving overall test reliability, coverage, and efficiency across UI, API, and end-to-end workflows.

Key responsibilities include:

• Building, developing, and maintaining comprehensive automation test strategies, test plans, and test cases for Salesforce applications.
• Strengthening the Salesforce quality engineering capability by crafting and implementing scalable, enterprise-grade automation frameworks that support reliable and predictable releases.
• Building, improving, and maintaining automation solutions using Java, Selenium WebDriver, and Cucumber BDD to ensure comprehensive test coverage across UI, business workflows, and integrations.
• Automating test suites into our CI/CD pipelines using GitHub Actions and DevOps standard methodologies, enabling continuous testing and accelerating time to market.
• Validating sophisticated Salesforce business processes and user experiences through structured functional and automated testing strategies that support operational perfection.
• Ensuring robust system integrations by implementing API automation using REST Assured and conducting endpoint validation through Postman.
• Applying strong testing fundamentals,including regression optimization, defect workflow management, risk-based test development, and RCA,to continuously elevate product quality.
• Collaborating with Engineering, Product, and DevOps teams to embed quality throughout the software development lifecycle and support scalable digital transformation initiatives.

Requirements include:

• 3-5 years of dynamic experience in Automation Quality Assurance, with hands-on expertise in Salesforce testing and validation of critical business workflows.
• Strong proficiency in Java and confirmed experience building and maintaining scalable automation frameworks using Selenium WebDriver and Cucumber BDD.
• Practical experience integrating automated test execution within CI/CD environments, preferably GitHub Actions, along with a confirmed understanding of DevOps pipeline configuration.
• Strong experience in API testing using REST Assured and Postman, with the ability to validate service reliability and integration stability.
• Shown understanding in software testing principles, including test strategy development, regression planning, defect lifecycle management, and root cause analysis.
• Experience using JIRA or similar tools for defect tracking, reporting, and quality metrics clarity.
• Strong written and verbal communication skills in English and collaborate successfully within multi-functional, globally distributed teams.

Most importantly, you bring a quality-first demeanor, a dedication to continuous improvement, and to operate with ownership, accountability, and a focus on delivering high-impact, scalable solutions.

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Key responsibilities include:

• Creating high-quality technical videos focused on search, AI/ML, and Elasticsearch as a platform
• Exploring and explaining how Elasticsearch integrates with other tools and protocols in the ecosystems
• Prototyping and publishing sample applications showing end-to-end Search + AI use cases
• Bringing a creative twist to Elastic's content creation to keep existing users engaged and capture new audiences

Requirements include:

• A proven track record of creating highly technical and engaging videos
• Strong technical background and experience in an engineering role
• Empathy for the community to help them solve their issues, provide internal feedback to make Elastic’s products better, and fix problems where possible
• Comfortable working with a highly distributed team
• Experience working self-driven and self-organizing
• Excellent spoken and written communication skills in English

Additional benefits include competitive pay, health coverage for you and your family, ability to craft your calendar with flexible locations and schedules, generous number of vacation days each year, increase your impact through financial donations and service, and embracing parenthood with minimum of 16 weeks of parental leave.

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

We’re now leading the shift to Agentic AI: intelligent agents that don’t just analyse conversations but take action by automating workflows, resolving customer issues, and accelerating revenue in real time. Our DAART initiative (Dialpad Agentic AI in Real Time) is redefining what a communications platform can do.

Visit dialpad.com to learn more.

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

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

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

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

Your role -------- As a Sr. SDET in Agentic QA, you will own the test automation and quality frameworks that support Dialpad’s AI Voice Agent services.

You will develop automated tests for end-to-end product experiences, from frontend UI to backend services to APIs to audio/text interactions.

You will test orchestration flows, agent configuration experiences, and guardian safeguards to create robust automated coverage for functionality, performance, reliability, UX, and more.

In this role, you will develop substantial amounts of automated test infrastructure and partner deeply with the development team to make our fast-growing AI platform more testable, more stable, and more delightful for customers.

This position is based at one of Dialpad’s Canadian offices and reports to a QA Eng Manager in the United States.

What you’ll do ------------

• Own end-to-end quality for agentic features and workflows, including strategy, development, execution, and release qualification.
• Design and build automation tooling and frameworks for AI/LLM-driven systems, including prompt flows, agent orchestration, and tool integrations.
• Develop and maintain evaluation frameworks (evals) to measure response quality, accuracy, and hallucination rates.
• Drive automation coverage (80%+ for critical AI workflows) using deterministic + probabilistic validation approaches.
• Integrate AI quality checks into CI/CD pipelines with fast feedback cycles (
• Build tooling for LLM observability and debugging, including prompt tracing and response analysis.
• Partner with Applied AI teams on prompt engineering, model selection, and evaluation strategies.
• Design and execute performance and load tests for AI services (latency, throughput, cost efficiency).
• Identify and mitigate risks related to hallucinations, bias, safety, and edge cases.
• Define and track AI quality KPIs (task success rates, precision/recall, latency, etc.).
• Participate in design and architecture reviews to ensure systems are testable, observable, and resilient.
• Mentor engineers and contribute to raising the bar on AI quality engineering practices.

What you’ll bring --------------

• 5+ years of experience in software engineering or SDET roles with an emphasis on software development.
• Strong programming skills in Python (preferred), Java, or JavaScript.
• Experience testing distributed, cloud-native SaaS systems and APIs.
• Demonstrated proficiency in coding with AI agents to accelerate development and improve code quality.
• Hands-on exposure to LLMs or AI/ML systems (e.g., OpenAI, Claude, Gemini, or similar platforms).
• Understanding of non-deterministic systems and probabilistic testing approaches.
• Experience building test frameworks and scalable automation systems.
• Familiarity with AI evaluation techniques (benchmarking, golden datasets, human-in-the-loop validation).
• Experience with CI/CD pipelines (e.g., Jenkins, GitHub Actions).
• Strong collaboration skills with the ability to work across distributed teams and time zones.
• Bachelor’s degree in Computer Science or equivalent practical experience.

Backend: Python, Go, Google Cloud Platform, Cloud Run / App Engine, Kubernetes, Datastore, Redis, ElasticSearch.

• Frontend: Vue3, React.
• AI Stack: LLM APIs, LiveKit, prompt orchestration frameworks, evaluation tooling.

For exceptional talent based in British Columbia, Canada the target base salary range for this position is $150,500-$175,250 CAD.

Why Join Dialpad ---------------

• Work at the center of the AI transformation in business communications.
• Build and ship agentic AI products that are redefining how companies operate.
• Join a team where AI amplifies every employee’s impact.
• Competitive salary, comprehensive benefits, and real opportunities for growth.

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

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

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

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

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

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You will work across engineering, security, and product teams to ensure our digital infrastructure is secure, scalable, and ready to support emerging mission demands.

Key responsibilities include:

• Design, deploy, and maintain enterprise cloud landing zones, security and infrastructure tooling.
• Collaborate with teams across the U.S. and Australia to enable secure connectivity between other sovereign cloud environments.
• Partner with government customers, authorizing officials (AOs), cybersecurity teams, and policy shops to accelerate accreditation, break through legacy barriers, and unlock access for cross-nation engineering teams.
• Implement infrastructure automation (IaC), observability tooling, and secure configuration baselines to support scalable, repeatable environment builds.
• Work closely with product, autonomy, Lattice, and Maritime engineering teams to integrate infrastructure capabilities with platform development, testing, and deployment workflows.
• Act as a technical leader during environment standup, troubleshooting, and validation events; ensure classified systems perform reliably in support of mission-critical needs.
• Support development of next-generation secure architectures for multinational development, data sharing, and mission system integration across Maritime platforms.
• Serve as a technical representative during customer events, exercises, and operational demonstrations to ensure infrastructure readiness and mission success.

Required qualifications include:

• Ability to obtain and maintain a UK security clearance to SC level.
• Bachelor's degree in a STEM field or equivalent engineering experience.
• Technical depth in one or more areas, including cloud infrastructure, secure networking, systems engineering, DevSecOps, platform architecture, cybersecurity, identity & access management.
• Specific technology includes: cloud - AWS, Azure; infrastructure as code - Terraform, CloudFormation; SCM - GitHub Enterprise; CI/CD - CircleCI, Gitlab; IDAM + SSO - Okta, AWS Identity Center.
• 8+ years of relevant engineering, infrastructure, or technical program execution experience.
• Willingness to travel domestically and internationally as required.

Preferred qualifications include:

• Experience with secure systems engineering, ideally within UK Government or Defence.
• Experience provisioning large enterprise cloud platforms for hundreds or thousands of users.
• Experience designing or maintaining distributed systems, secure networks, or infrastructure supporting autonomy, AI/ML, or big data workloads.
• Demonstrated ability to work across technical disciplines, influence without authority, and operate in ambiguous and fast-paced environments.
• Experience working with international partners or navigating multi-nation technical or policy workflows.

The salary range for this role is competitive and includes highly competitive equity grants as part of Anduril's total compensation package.

Additional benefits include:

• Comprehensive medical, dental, and vision plans at little to no cost to you.
• Generous time off, including a holiday hiatus in December.
• Family planning & parenting support, including coverage for fertility treatments and adoption.
• Mental health resources, including access to free therapy and life coaching.
• Professional development opportunities, including annual reimbursement for professional development.
• Commuter benefits and relocation assistance.

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As a Mission Software Systems Engineer, you will work closely with the program leadership and a wide spectrum of cross-departments as part of a team focused on solving hard problems and changing the industry forever.

In this role, you will be responsible for designing, integrating, and managing complex, software-intensive mission autonomy systems based on the Lattice OS, with specific focus on integration into a coherent, consistent, and complete system for Autonomous Surface Vehicles (ASVs).

You will bridge the gap between hardware and software, and between ship control and mission operations, handling the entire lifecycle across Concept of Operations (ConOps) development, requirements development and analysis, design, testing, optimization, and maintenance.

Join our dynamic team and help us build the next generation of autonomous maritime systems.

The ideal candidate should have strong experience building or supporting developer experience platforms, internal tools, and/or platform engineering solutions. They should have proficiency with networking and related cloud-native technologies, and have solid programming skills in languages such as C++, Go, or Rust.

Key responsibilities include participating in development and maintenance of the mission system to vehicle autonomy / management system interface, leading development and maintenance of the mission system to payload management system interface, performing analysis of ConOps, DRMs, and mission flows, and developing mission behavior concepts with associated definition of inputs and outputs list.

The role also involves owning the build package and configuration of the mission autonomy software for the MCS, OCS, and PDK instantiations, building, checking out, and delivering the PDK to payload development teams, supporting integration, checkout, debug, and test of mission autonomy as installed on each type of ship, and active contribution to HITL development, maintenance, and use.

Additionally, the successful candidate will be responsible for hands-on co-lead for integration of each payload with the mission system on each type of ship, supporting ship V&V planning for at-sea activity, owning the software build and configuration of ASV MissionSim, and performing validation testing of mission autonomy.

The role requires a bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent, and at least 5+ years of experience designing, implementing, testing, and troubleshooting software-based systems.

Experience in fieldable system design, familiarity with developing and executing test plans for complex systems, high-ownership and a bias toward action, and the ability to obtain and hold a U.S. security clearance are also required.

Preferred qualifications include familiarity with software development processes and tools such as git, Github, JIRA, experience with the design, implementation, and support of robotic and/or autonomous systems, experience working within the defense, maritime, and/or aerospace domains, and experience within the product delivery lifecycle including manufacturing, system acceptance, deployment, and sustainment.

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This role blends strategy and execution, requiring both hands-on recruiting expertise and organizational leadership. You will be responsible for:

• Building and executing comprehensive hiring strategies to scale high-performing teams in a fast-paced, hypergrowth environment
• Leading and developing a high-performing recruiting team
• Personally driving senior and executive-level searches
• Partnering closely with Operations, IT, Supply Chain, and Data Center leadership to forecast hiring needs, optimize recruiting performance, and deliver top-tier talent

To succeed in this role, you will need:

• 10+ years of Operations and IT recruiting experience, including 5+ years in a recruiting leadership role
• Proven track record of hiring senior professional, director, and executive-level Operations and IT leaders
• Experience scaling recruiting operations in a high-growth, high-volume environment (500+ hires per year)
• Experience leading recruiting organizations with 25+ direct and/or indirect reports
• Demonstrated success recruiting for Supply Chain, Data Center, Infrastructure, and IT functions
• Deep knowledge of Operations and IT organizational structures, technologies, and role requirements
• Expertise using sourcing platforms such as LinkedIn Recruiter, GitHub, and Gem
• Advanced proficiency with ATS platforms (e.g., Greenhouse)
• Experience leveraging recruiting analytics to improve time-to-fill, pipeline conversion, and quality of hire
• Experience forecasting hiring needs and workforce planning in partnership with business leaders
• Demonstrated ability to influence and advise executive-level stakeholders
• Strong negotiation and offer-closing performance in competitive talent markets
• Experience supporting international recruiting and global hiring initiatives

Preferred qualifications include experience recruiting within cloud, infrastructure technology, or data center environments, implementing sourcing automation and ATS enhancements, and partnering with international teams to scale global hiring operations.

At CoreWeave, we value candidates who bring diversified experiences to our teams. If you're curious about market intelligence, talent trends, and how data can continuously improve recruiting performance, and you're an expert in executive recruiting, operational talent strategy, and building high-performing recruiting teams, we'd love to talk.

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Responsibilities: Steer: Work with the team to select, scope, and drive high-leverage projects that accelerate development to help Reddit achieve its goals. Build: Execute on a strategy to create a developer experience that reduces toil and provides faster and higher-quality feedback around all parts of the SDLC, including source control, builds, testing, code review, code integration, knowledge search, and more. Amplify: Mentor, coach, and collaborate with other technical contributors. Collaborate: Work together with a variety of cross-functional teams across Reddit Engineering. Evolve: Learn and improve your own technical and non-technical abilities.

Requirements: 7+ years of experience identifying, driving, and executing high-impact projects that align with the company's strategy. 5+ years of experience working in developer experience, infrastructure, or platform teams, and experience working on developer tools, libraries, and frameworks. 5+ years of industry experience in large-scale distributed systems and experience developing and improving highly scalable and reliable systems. Experience with CI/CD tools (Drone, BuildKite, Github Actions, Bazel, Argo Workflows/Rollouts/CD, Temporal, and other adjacent tools). Experience with Kubernetes and cloud providers (AWS, GCP). A track record of leading large-scale technical projects that require cross-team and cross-functional collaboration. The ability to disambiguate complex problems, align stakeholders, and aggressively prioritize to execute on projects effectively. Excellent communication skills that you employ to drive toward consensus, navigate disagreements, influence decisions and priorities, and empower others. A strong sense of empathy, curiosity, and humility that drive a desire to deeply understand developer pain points, continuously improve systems, and ultimately deliver a delightful user experience. A history of mentorship and technical leadership.

Preferred qualifications include: Go experience. Experience with GraphQL, REST, HTTP, gRPC. Experience with Github Enterprise Server. Experience with mobile client CI/CD challenges (Bitrise, MacStadium, Orka, Gradle). Experience designing and implementing platforms. Experience with multi-region, multi-provider deployments.

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In this role, you will work with cutting-edge machine learning techniques to design and implement scalable intrusion detection solutions at the enterprise level. You'll partner with our product and data engineering teams to optimize log ingestion pipelines, fuse diverse log sources, and develop anomaly-based and ML-driven detection strategies. You will be instrumental in enhancing the organization's threat detection capabilities by utilizing novel data sources, exploring new attack vectors, and refining our detection models.

Key responsibilities include designing and implementing advanced detection strategies, collaborating with cross-functional teams, engineering and deploying detection solutions, developing rule-based and/or ML-based intrusion detection models, partnering with Incident Response teams, influencing technology strategies, and representing Databricks at security and engineering conferences.

We look for candidates with 10+ years of relevant experience or advanced degree + 7 years of experience, with a focus on security detection engineering. The ideal candidate will have expertise in securing and operating at least one major cloud environment, strong technical proficiency in key areas such as network security, cloud security, application/log analysis, and endpoint security, and proven experience in Python, Git/GitHub, and CI/CD automation.

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You are a good fit for this role if you have 5+ years of software development experience. You have excellent communication and collaboration skills. You have experience building public or internal mobile APIs/SDKs and working with Java and Kotlin. You have experience with XML layouts, View Binding, and Android Views (ViewModels, LiveData). You have experience with unit/UI/integration/performance testing on iOS (JUnit, Robolectric, Mockito, MockK, etc.). You have experience with Realm database or similar mobile NoSQL solutions. You have experience with mobile CI/CD pipelines (Github Actions).

Bonus points if you have 1+ years of experience in identity and access management (IAM) domain, particularly with Auth0 Guardian SDK or similar MFA/authentication solutions. You have experience with Android security best practices including cryptography (RSA, PBKDF2), biometric authentication, Android KeyStore, and ProGuard/R8 optimization. You have experience with Dagger 2 dependency injection and migrating legacy MVP architecture to MVVM patterns. You have experience with infrastructure-as-code tools (e.g., Fastlane, Gradle, Snyk, or Terraform).

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Your primary focus will be on two core pillars: Orchestration & Patterns, and Infrastructure Intelligence. In the former, you will build the platform that allows teams to productionize their own automations using durable execution frameworks and standardized IaC patterns. In the latter, you will create, source, and enrich critical infrastructure and organizational data and make it accessible and actionable for both humans and AI agents.

To succeed in this role, you will need to design and develop high-performance internal tools and APIs using Go (Golang) to manage infrastructure metadata and lifecycle. You will also design complex, long-running workflows using durable execution frameworks (like Temporal) to orchestrate tasks across Git, Cloud providers, and CI/CD pipelines. Additionally, you will develop and implement Model Context Protocol (MCP) servers and Agentic AI workflows to automate the creation, upgrading, and auditing of infrastructure configurations.

You will collaborate with Infrastructure, Security, and Development teams to design 'Infrastructure Intelligence' tools that provide deep insights into asset ownership and EOL lifecycles. Your expertise in Go (Golang), Temporal, MCP, and A2A frameworks will be crucial in driving the success of this project.

If you're a motivated and knowledgeable software engineer with a passion for building infrastructure tools, we encourage you to apply for this exciting opportunity.

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You will also design and deploy robust supporting security tools for managing and assessing security state, integrate with third-party applications, and interact with cloud APIs (AWS, Azure, GCP, Terraform). Additionally, you will plan and lead end-to-end projects supporting data collection and integration with vulnerability and threat detection efforts.

To succeed in this role, you will need 8+ years of software engineering experience, with 4+ years specifically in security-related engineering. You should have experience with Python, Git/GitHub, and CI/CD automation, and Terraform. Expertise in securing at least one major cloud environment (AWS, Azure, GCP) is also required. Experience with software security and systems that handle sensitive data, as well as data correlation engine, is preferred.

As a leader on our team, you will be expected to mentor peers, drive strategic initiatives, and influence the organization's security direction. You should have excellent communication skills, with the ability to collaborate effectively across teams and present complex ideas clearly to stakeholders at all levels.

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole.

About the role: The IT Operations team keeps Anthropic running , we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.

Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.

Responsibilities

End-User Support

Triage and resolve issues across hardware, software, networking, and accounts , primarily through our ticketing system, with additional support via Slack and in-person Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian) Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs) Handle escalations requiring cross-team coordination Participate in an on-call rotation for urgent issues outside business hours Provide hands-on support for user technology, AV systems, conference rooms, and printers

Communication & Documentation

Communicate clearly with users of all technical levels Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves

Operational Improvement

Help streamline onboarding and other high-volume operations as the company scales Contribute to automation efforts Maintain and improve device management, identity, and access systems Assist with scripting (Bash, Python) to automate repetitive tasks

You may be a good fit if you

Have 5-7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment Are an excellent communicator who genuinely enjoys helping people solve problems Have strong troubleshooting skills and are methodical, curious, and persistent Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android Have significant experience with Google Workspace administration Have experience with Slack administration , workspace management, permissions, and troubleshooting Have substantial experience supporting and administering additional SaaS tools Understand identity and access fundamentals , SSO, MFA, directory services Are familiar with MDM fundamentals and endpoint management concepts Have experience with basic scripting (Bash or Python) for automation Take ownership of problems and follow through until they're resolved Think beyond the immediate fix , you ask 'why did this happen?' and 'how do we prevent it?' Are organised enough to manage competing priorities without things falling through the cracks Propose solutions when you see a process that doesn't scale Are looking to develop deeper technical skills and take on more complex systems administration challenges over time

Strong candidates may also

Be familiar with zero-trust security concepts and endpoint security tooling Have experience with networking basics , DNS, DHCP, VPNs, networking fundamentals Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns) Have experience using AI tools to improve personal or team productivity

Location

This role is based in one of our offices (San Francisco or Seattle). There is a 4 day per week in office expectation. If you will be based out of the Seattle office we expect you to be in-office 5 days/week.

What Makes This Role Unique

You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts , you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.

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Beyond hands-on development, you will serve as a technical leader: guiding component architecture, mentoring engineers, and driving initiatives that raise the bar for UI quality and frontend engineering practices. This role requires strong ownership, deep problem-solving skills, and excellent communication. You will operate in a small, highly collaborative team where clarity, accountability, and impact matter.

Hands-on experience building AI-powered features and using AI tools to improve engineering productivity is required.

Key Responsibilities:

• Lead by example: contribute high-quality React code and set the standard for frontend craftsmanship across the platform
• Shape architecture: design scalable component systems, state management patterns, and frontend infrastructure that support long-term growth
• Mentor engineers: coach and support teammates through code reviews, design discussions, and problem-solving
• Own complex problems: drive investigation, debugging, and resolution of performance, rendering, and scalability challenges
• Drive execution: translate product and design requirements into clear technical designs and well-scoped Jira tickets
• Collaborate cross-functionally: work closely with product, design, and backend partners to deliver impactful, end-to-end solutions
• Establish best practices: improve standards around code quality, accessibility, performance, and reliability
• Champion improvement: introduce new tools, patterns, or approaches , including AI-enabled workflows , where they add real value

Requirements:

• 7+ years of professional software engineering experience, with a strong focus on building and owning modern frontend applications
• Deep expertise in React and modern JavaScript/TypeScript, including component architecture, state management, and frontend application design
• Experience using AI-assisted development tools such as Claude Code or Cursor to accelerate frontend development and improve engineering productivity
• Strong product and design sensibility, with a high bar for UI quality, usability, consistency, and craft
• Proven track record designing frontend architectures that scale across teams, products, and complex user workflows
• Strong knowledge of performance optimization, accessibility, responsive design, and modern frontend best practices
• Deep debugging and problem-solving skills in browser-based applications, with the ability to quickly identify and resolve issues across frontend-backend boundaries
• Proficiency with GitHub-based development workflows, including pull requests, code review practices, branching strategy, and CI/CD automation using GitHub Actions
• Ability to work effectively with backend systems and APIs, contributing where needed while keeping frontend excellence as the primary focus
• Experience as a technical leader who can drive frontend direction, mentor engineers, and raise the quality bar across the team
• Excellent communication skills and the ability to work closely with design, product, and engineering partners

Nice to Have:

• Experience building or integrating AI-powered features
• Familiarity with LangGraph, LangChain, or similar agent-based frameworks
• Experience with data-rich UIs: dashboards, analytics, or complex data visualization
• Background in design systems or shared component libraries
• Experience with Cypress or end-to-end testing frameworks
• Background in DevOps and CI/CD practices

Within Your First 6 Months:

• 1 Month , Ramp up on systems, ship initial contributions, and build context across the platform and team.
• 3 Months , Own features end-to-end, mentor peers, and influence frontend architecture decisions.
• 6 Months , Lead a major frontend initiative, establish guardrails, and raise the bar on performance, scalability, and engineering practices , including thoughtful use of AI where valuable.

Our Values:

• Humble experts
• Hungry for the opportunity
• Intellectually honest
• Operating as one happy team

Awesome Benefits:

• Discretionary time off & sick days
• Paid holidays
• Health insurance
• 401(k) with employer matching
• Quarterly All-Hands meetings
• And much more!

We are proud to be an equal opportunity workplace committed to building a team culture that celebrates learning, diversity and inclusion.

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The engineer joining this team will help build tools that interact with external health data networks to collect information about our patients and load it into the Zus data stores at high volume, as well as services used by customers and internal stakeholders to request that data.

You will work on data pipelines that operate on large scale data using a variety of AWS services (Step Functions, Lambda, DynamoDB, S3, etc). You will also work on RESTful services that are used both internally and externally. Go is our language of choice, although we also have some components written in NodeJS.

The team is responsible for deploying, maintaining, and operating its pipelines and services. Our Zus engineering teams are all US-based, and we hire only in the US.

In Data Acquisition, we work across a collection of US timezones and also collaborate with our development partners in Central European Time.

Zus supports both remote work and hybrid work in the Boston area with an office near South Station, and our teams are a mix of both styles of work.

We actively work to make sure all voices are heard and information is shared regardless of your work location.

You're a good fit because you...

• Are scrappy and you move fast
• Have experience with operationally stable and cost efficient data pipelines
• Enjoy owning your work and seeing it deploy safely in production
• Have experience building backend software in any language (we use mostly Go with a bit of Node)
• Have some experience with at least one of the following: deployment technologies (Github actions, CodeDeploy, CircleCI), cloud providers (AWS, Azure, GCP)), and Infrastructure as Code (Terraform, CloudFormation, Chef)
• Are excited to ~ finally! ~ enable a true digital revolution in healthcare
• Thrive amid the changing landscape of a growing and evolving startup
• Enjoy collaboration and solving unique problems
• Are comfortable working remotely (EST/CST preferred as that is where our team is located) and are willing to travel for in person collaboration occasionally

It would be awesome if you were...

• Experienced in building and running large-scale systems in the cloud
• Experienced in building services and APIs used by third-party developers
• Knowledgeable about application security
• Experienced in working with healthcare data and APIs
• Familiar with the FHIR and/or TEFCA standards

Additional Information

This role can be hybrid in Boston or mostly remote. We’re flexible, because we trust our people to do great work wherever they’re most productive. We’re proudly remote-first, but not strangers by any means. We get together a few times a year to build real rapport, align on strategy, and connect as people.

We believe strong culture is built on trust, transparency, and showing up online or or in person. So yes, work from where you thrive… and plan on the occasional gathering where the strategy is sharp, the conversations are candid, and the snacks are usually excellent.

We will offer you…

• Competitive compensation that reflects the value you bring to the team a combination of cash and equity
• Robust benefits that include health insurance, wellness benefits, 401k with a match, unlimited PTO
• Opportunity to work alongside a passionate team that is determined to help change the world (and have fun doing it)

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As a Principal Engineer, you will:

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

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

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

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The bottleneck has shifted downstream - to merge conflicts, flaky tests, inconsistent code quality, and dozens of other frictions that drain productivity and morale. Engineering teams that can stay focused on designing, implementing, and delivering software will build magical, high-quality projects - and they'll be happier doing it.

We're building a CI Reliability Platform that empowers teams to land code faster and develop happier.

We are looking for a motivated and experienced Senior Software Engineer to join our Platform/Data Engineering team. In this role, you will be responsible for developing and optimizing data ingestion pipelines that can handle vast amounts of real-time and batch data from various sources.

Your focus will be on designing systems that are scalable, reliable, and performant, as well as ensuring the proper integration of data across our entire ecosystem.

Responsibilities

• Design, build, and maintain scalable data ingestion pipelines to handle large volumes of structured and unstructured data.
• Optimize and improve the efficiency of existing data processing workflows, ensuring they can scale as the data grows.
• Collaborate with cross-functional teams to gather data requirements and ensure seamless integration with various data sources.
• Implement real-time and batch processing systems for ingesting data from APIs and webhooks.
• Ensure data quality, consistency, and integrity across all data pipelines.
• Troubleshoot and resolve performance bottlenecks and data-related issues in the ingestion pipeline.
• Develop monitoring and alerting systems to proactively manage the health of data pipelines.
• Continuously evaluate and adopt new technologies and tools to improve the scalability and performance of our systems.
• Document the design, implementation, and operations of data pipelines for knowledge sharing within the team.

Requirements

• 4-5+ years of professional software engineering experience
• You're located within commute distance of San Francisco and are willing to work in office at least 8 days per month.
• You have experience in areas such as databases, distributed systems, service-oriented architectures, and data infrastructure
• You derive joy from refactoring and building clean abstractions in order to make complex systems fun to develop on and easy to understand
• Excellent debugging and troubleshooting skills and the tenacity to drive a solution to a conclusion
• Experience and intuition to zero in on root causes for bugs that can leave others stumped
• The ability to operate independently, but know when you are in too deep and need to ask for help
• Ability to collaborate with colleagues to plan and execute the best solution

Tech Stack

• Frontend: Typescript, React, Next.js, AWS
• Backend: Typescript, Node, AWS
• Data pipelines: Dagster, python, polars
• CI/CD: GitHub Actions

Benefits

• Unlimited PTO
• Competitive salary and equity
• Work-life balance
• Lunch ordered in on us at the office on Wednesdays and Thursdays
• Few meetings, so you can ship fast and focus on building
• One Medical membership on us!
• Top-notch medical, dental, vision, short-term disability, long-term disability, and life insurance
• All insurance is 100% company-paid ($0 premiums) for employees and highly subsidized for dependents
• FSA, HSA with company contributions, and pre-tax commuter benefits
• 401(k) plan
• Paid parental leave (up to 12 weeks)

The salary and equity range for this role are: $170K - $210K and .15% - .35%.

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Behind many of life's most important transactions , buying a house, applying for a mortgage, getting a small business loan, or refinancing a credit card , is a network of credit relationships. Setpoint provides critical infrastructure for relationships between the world's largest banks, credit funds and capital markets counterparties.

We are looking for an Analytics Engineer to join our team supporting our external data products. In this position, you will be reporting into our Head of Analytics and partnering closely with engineering, product, and implementation teams to build and maintain the data infrastructure that powers our products. This is a hands-on role where you'll design and maintain data pipelines, create dashboards, and work directly with stakeholders to deliver insights that drive business outcomes.

Responsibilities

• Own end-to-end implementations for the data products for our external customers.
• Build and maintain scalable data pipelines and analytics models using Python, DBT, and SQL.
• Create and manage dashboards in our external and internal analytics products so stakeholders have actionable insights.
• Prototype new data products to add to our product suite.
• Collaborate with engineering to drive the roadmap for the data products.
• Use GitHub-based workflows to maintain clean, version-controlled analytics code.
• Act as a subject matter expert for analytics best practices.

Requirements

• 5+ years of experience in analytics engineering, data engineering, or a similar technical role.
• Proven expertise DBT, SQL, and GitHub-based development. Python is a plus.
• Strong experience designing, implementing, and maintaining data pipelines and models.
• Experience in a customer-facing role, working with technical and business stakeholders.
• Experience working with asset managers, business owners, or financial services data sets is a plus.
• Excellent problem-solving, communication, and collaboration skills.

Benefits

• Competitive salaries
• Stock options
• Medical, dental, and vision coverage
• 401(k)
• Short term and long term disability coverage
• Flexible vacation

Compensation

$150,000 - $170,000 OTE dependent on multiple factors, which may include the candidate's skills, experience, location, and other qualifications.

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We are building a global operating network that finally enables supply-chain companies to collaborate within one platform. Our workflow engine empowers non-technical industry experts to model their complex manufacturing and operational processes. Our forms engine enables unprecedented data exchange between companies. And our upcoming AI engine can generate entire new processes and summarize the complex goings-on across thousands of workflows, identifying inefficiencies and driving optimization as companies react to a constantly-shifting global landscape.

As an SRE you will have the opportunity to shape our developer platform, work directly with customers, and architect solutions that balance the rigorous security and reliability requirements of global enterprises with the speed and flexibility of a rapidly growing series A organization.

Responsibilities

• Contribute to SRE-owned portions of application codebases related to infrastructure clients, SaaS clients, observability, and reliability patterns.
• Contribute to the developer platform interfaces to enable a growing number of engineers, microservices, and environments (helm charts, CI platform, and deploy processes).
• Advocate for new tools and processes that will help Regrello grow.
• Take part in on-call rotations.
• Collaborate with cross-functional teams, including Development, QA, Product Management, to ensure successful releases.

Stack

• GCP: GKE, CloudRun, Memorystore, CloudSQL, BigQuery
• Kubernetes: helm, helmfile
• Automation: Terraform, shell
• Queue: Temporal, Machinery, Celery
• Launchdarkly
• Otel / Prometheus / Grafana / Splunk

Requirements

• Bachelor’s degree in Computer Science or a related field.
• 4-8 years of experience in site reliability, software engineering, or a related role.
• Strong understanding of software development lifecycle (SDLC) and Agile methodologies.
• Experience with CI/CD tools such as Github Actions, GitLab CI, or CircleCI.
• Proficiency in scripting languages for automation tasks.
• Fluency with cloud platforms (AWS, Azure, GCP), kubernetes, feature flags, and modern backend technologies (experience with Go is strongly preferred, with the ability to quickly learn new technologies as needed).
• A builder’s spirit (you have a track record of building projects for fun, staying updated with open-source developments, etc.)
• Excellent problem-solving and communications skills, and attention to detail, with the ability to work effectively in a remote team environment.

Culture and Compensation

We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We are particularly interested in candidates based in our hubs of Seattle, San Francisco, and New York, but we will consider candidates who live anywhere in the US, Canada, or Mexico. We have industry-leading compensation packages, including equity and health benefits. We are willing to sponsor US work authorization if needed.

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Role: As an SRE at Regrello, you will oversee release management across a growing fleet of SaaS and customer environments. You will collaborate with various teams to ensure that Regrello releases are efficient, consistent, and high-quality, enabling us to scale our engineering and product teams to deliver more features.

Some of the projects the team is working on include becoming cloud-neutral by turning all application infrastructure clients into plugins, helping our AI team manage GPU infrastructure to train new foundational models, and applying changes to our architecture to increase reliability.

Culture and Compensation: We are a customer-obsessed, product-driven company that is building a flexible, hybrid/remote culture to enable the brightest minds in the industry. We have industry-leading compensation packages, including equity and health benefits. We are willing to sponsor US work authorization if needed.

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As a Security Researcher, you'll play a pivotal role in safeguarding these innovations by anticipating, identifying, and mitigating risks before they materialize. This isn't just about finding vulnerabilities; it's about shaping the future of secure AI by embedding an attacker's mindset into everything we build.

You'll work at the intersection of offensive security, AI safety, and product development, collaborating with cross-functional teams to harden our systems against evolving threats. Your expertise will directly influence how we design, deploy, and protect our most critical assets , ensuring our agents remain resilient, trustworthy, and ahead of adversaries.

Key responsibilities include:

• Proactively hunting for vulnerabilities in the interactions between our agentic applications, cloud infrastructure, and foundational models, with a focus on realistic, high-impact attack vectors.

• Designing and executing red and purple team exercises, simulating sophisticated adversarial scenarios to stress-test our defenses and refine our detection capabilities.

• Partnering with defensive teams to translate offensive insights into actionable improvements, from detection engineering to incident response.

• Conducting in-depth penetration testing across our product suite, including AI-driven workflows, custom infrastructure, and user-facing interfaces.

• Building and automating offensive tooling to scale your impact, leveraging cutting-edge techniques to stay ahead of emerging threats.

• Communicating findings with clarity and conviction, ensuring technical and non-technical stakeholders understand risks and prioritize mitigations effectively.

• Shaping Mistral AI's security strategy by contributing attacker-informed perspectives to threat modeling, risk assessment, and architectural decisions.

We're looking for someone with 7+ years of offensive security experience, deep knowledge of AI/ML security risks, and hands-on experience assessing modern technology stacks. A builder's mindset, strong intuition for trust boundaries, and outstanding communication skills are also essential.

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At Mercury, your mission, should you choose to accept it, is to help steer our cloud infrastructure into the future. With projects as dynamic as migrating our entire fleet to ECS and building out our golden paths for service deployment, your role is pivotal. This isn't just a job; it's an epic tale of transformation and triumph.

As a senior member of our infrastructure team, you will be equipped with essential tools and technologies designed for scaling and enhancing Mercury's infrastructure:

• AWS Services: Proficiently utilize EC2, RDS, IAM, Networking, Opensearch, and ECS to build and manage robust cloud environments.
• Terraform: Leverage Terraform for infrastructure as code to efficiently manage and provision our cloud resources.
• Agentic Infrastructure: Build the frameworks around using AI safely in our infrastructure, both for the agents and the users that kick off those agents.
• Monitoring and Observability Tools: Employ Prometheus, Grafana, Opensearch, and OpenTelemetry to maintain high availability and monitor system health.
• Version Control and CI/CD: Manage code and automate deployments using GitHub & GitHub Actions.

As we gear up for the next stages of Mercury's growth, you will:

• Build our “Infrastructure Platform” to support the growing needs of the Engineering Organization.
• Focus on building a platform that is AI friendly while still usable for engineers. We want our users to be humans and Agents.
• Lead key infrastructure projects, break-down complex initiatives, and define our infrastructure strategy through detailed RFCs and technical specifications.

Must haves:

• You have 5+ years of experience with AWS.
• You have extensive experience, ideally 3 years or more, with observability and monitoring tools like Prometheus, Grafana, and OpenTelemetry, optimizing system performance and reliability.
• You have demonstrated ability in technical writing, with at least 3 years of experience creating detailed technical documentation, RFCs, and tech specs that clearly communicate complex ideas.

The ideal candidate should:

• You bring at least 2 years of experience leading infrastructure projects in regulated environments such as HITRUST or SOC2, ensuring compliance and security.
• You have 3+ years of experience managing large-scale Terraform implementations, including the setup and maintenance of Terraform CI/CD pipelines.
• You have 2+ years of experience writing code. We are building an Infrastructure Platform from scratch and there is plenty of code to write to support that.
• Experience mentoring and elevating those around you, we are force multipliers for the engineering org.

If this role interests you, we invite you to explore our public demo at demo.mercury.com.

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

• US employees: $200,700 - $250,900
• Canadian employees: CAD $189,700 - $237,100

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We are seeking a highly skilled Technical Support Engineer to provide high-quality support and service to our Customer base and Internal teams.

As a Technical Support Engineer, you will play a critical role in providing advanced support directly to our Customers, and collaborating with engineering and Sales teams to enhance our products and services.

Responsibilities:

• Resolve technical issues and provide advanced support directly to customers, including support for fal's platform (APIs, UI issues, and troubleshooting errors).
• Support users across multiple products via email, chat, and Slack.
• Troubleshoot integration issues, including authentication problems (OAuth, API keys), HTTP errors, malformed requests, rate limits, and API misconfigurations.
• Analyze API logs, error messages, and request/response payloads to identify root causes.
• Manage support tickets by responding within SLA timeframes, escalating complex issues appropriately, and maintaining detailed case records.
• Reproduce, escalate, and document bugs or edge cases in collaboration with engineering.
• Provide structured feedback to engineering teams regarding platform reliability, performance bottlenecks, and customer-reported issues, serving as an internal advocate for customer pain points and product improvement.
• Assist with testing and validation of new features, releases, and infrastructure changes before production deployment.
• Write and maintain technical content, including use case guides, how-to examples, FAQs, solutions for common errors, and documentation of issues and resolutions for the knowledge base.
• Improve developer documentation to make integration as self-serve as possible.

What You Bring:

• Strong analytical thinking, technical problem-solving skills, and a systematic approach to troubleshooting technical issues across web platforms, cloud environments, and enterprise software.
• Experience supporting and troubleshooting REST APIs and backend services, including working directly with REST APIs and authentication flows (OAuth2, API keys).
• Experience using monitoring, logging, and observability tools to support production systems.
• Familiarity with AI platforms, machine learning systems, or data-intensive applications.
• Excellent written and verbal communication and interpersonal skills, with the ability to clearly and empathetically explain complex technical concepts to both technical and non-technical stakeholders/users in English.
• Experience providing technical support with a customer-first mindset, demonstrating patience, empathy, and a focus on user success.
• Strong technical writing abilities with experience creating and maintaining user guides, FAQs, and troubleshooting documentation.
• Demonstrated ability to prioritize effectively, respond quickly to critical issues with a sense of urgency, and maintain composure under pressure.
• Ability to work independently and collaboratively, handling multiple concurrent support cases while maintaining quality and meeting response time commitments.
• Self-starter who can identify process improvements and proactively address recurring issues (Initiative).
• Familiarity with tools such as Slack, Linear, Notion, and GitHub.
• Familiarity with authentication protocols like REST APIs, OAuth2, JWT, and API key auth.

Why fal:

At fal, you'll join a rapidly scaling company defining how AI moves from experimentation to production. This is an opportunity to shape the future of enterprise AI adoption while building deep relationships with customers who are transforming their industries through intelligent technology.

What we offer at fal:

• Interesting and challenging work
• Competitive salary and equity
• A lot of learning and growth opportunities
• Regular team events and offsites

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As a DevOps Engineer, you will be responsible for monitoring and management of cloud environments (AWS, Azure, GCP), assisting with CI/CD pipelines and general code management practices, and develop and maintenance of tooling for deployment of Espresso Systems services.

We are a fully remote team with flexible hours, and offer a competitive salary + equity package, regular team off-sites to international locations, unlimited vacation policy, and top-tier health, dental, and vision coverage for US employees.

Responsibilities: Monitoring and management of cloud environments (AWS, Azure, GCP) Assisting with CI/CD pipelines and general code management practices Develop and maintenance of tooling for deployment of Espresso Systems services

Requirements: Experience working with containers in hosted environments Experience with Terraform or other similar declarative cloud operations technologies Comfort working in the Linux command line

Preferred: Experience with Ansible, AWS container orchestration, Docker, Github Actions, Nix, Rust, and Terraform

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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 a small company with under 100 employees, operating with the energy of a startup. However, we're also publicly traded, which means our employees get access to the liquidity of our publicly-traded equity.

As a Senior DevOps Lead at Cyngn, you will play a vital role in architecting and managing infrastructure across cloud and autonomous vehicle systems. This position combines traditional cloud DevOps leadership with specialized expertise in robotics and autonomous systems infrastructure.

Responsibilities

• Lead and architect cloud and vehicle infrastructure initiatives across AWS and ROS/Linux environments
• Design and implement scalable solutions for both cloud services and autonomous vehicle systems
• Establish and maintain DevOps best practices, CI/CD pipelines, and infrastructure as code
• Drive observability, monitoring, and incident response strategies
• Optimize performance and cost efficiency of cloud and edge computing resources
• Mentor team members and foster a developer-friendly environment
• Manage on-call rotations and incident response processes
• Architect solutions for processing and storing large-scale vehicle telemetry data
• Lead security initiatives and compliance efforts across infrastructure

Requirements

• 10+ years of relevant DevOps/Infrastructure experience
• Proven track record as a technical lead in platform or infrastructure teams
• Advanced expertise in AWS services, infrastructure as code (Terraform), and Kubernetes
• Strong experience with service mesh (Istio) and Helm/Kustomize
• Deep understanding of ROS/ROS2 and Linux kernel configurations
• Experience with GPU configurations and ML infrastructure
• Expertise in ARM and NVIDIA CUDA platform configurations
• Strong programming skills in Python and shell scripting
• Experience with infrastructure automation (Ansible)
• Expertise in CI/CD tools (Jenkins, GitHub Actions)
• Strong system architecture and design skills
• Excellence in technical documentation
• Outstanding problem-solving abilities
• Strong leadership and mentoring capabilities

Nice to haves

• Experience with autonomous vehicle systems
• Track record of optimizing GPU-based ML infrastructure
• Experience with large-scale IoT deployments
• Contributions to open-source projects
• Experience with real-time systems and low-latency requirements
• Expertise in security implementations including SSO, IdP, and AWS Cognito
• Experience with JFrog artifactory and container registry management
• Proficiency in AWS IoT Greengrass
• Experience with container resource management on edge devices
• Understanding of CPU affinity and priority scheduling
• Track record of implementing cost optimization strategies
• Experience with scaling systems both horizontally and vertically

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
• Sabbatical leave opportunity after five 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 an engineer at Synopsys, you are detail-oriented and analytical, with a knack for problem-solving and troubleshooting. You approach challenges with a growth mindset, always seeking ways to optimize workflows and improve product performance. You value open communication, teamwork, and knowledge sharing, and you understand the importance of effective collaboration in a distributed environment.

Designing, implementing, testing, and maintaining photonics design workflows and software modules. Developing and supporting automated and AI-driven photonics simulation and optimization tools. Performing bug verification, release testing, and providing beta support for assigned products. Investigating and resolving issues identified by QA and product support teams. Assessing customer workflows, gathering requirements, and driving the design and prototyping of new methodologies and solutions. Documenting software features, workflow processes, and technical specifications for internal and external audiences.

Enabling the development of advanced photonics solutions that power next-generation technologies. Improving the efficiency and reliability of photonics design workflows for global customers. Accelerating innovation through the integration of AI-driven simulation and optimization tools. Enhancing product quality by contributing to thorough testing, bug resolution, and customer support. Driving customer satisfaction by tailoring solutions to meet specific workflow requirements. Supporting Synopsys’ leadership in the photonics industry through technical excellence and collaborative innovation.

Passion for photonics, optics, and software development. Bachelor’s degree in Electrical Engineering or Physics, with a focus on Photonics or Optics. Experience in photonic device/component design, including optimization and inverse design methodologies. Understanding of the photonics industry and exposure to the full design cycle (simulation, layout, tape-out, testing). Hands-on experience with photonics simulation tools (e.g., Lumerical FDTD/MODE/Multiphysics). Proficiency in Python programming for simulation control, data analysis, and workflow orchestration. Familiarity with AI tools (e.g., GitHub Copilot or similar) to accelerate coding and workflow development.

Analytical and detail-oriented, with strong problem-solving skills. Collaborative and communicative, able to work effectively in a geographically distributed team. Adaptable and eager to learn new technologies and methodologies. Proactive and self-motivated, with a drive for continuous improvement. Inclusive and open-minded, valuing diverse perspectives and teamwork.

Join a dynamic R&D group focused on pioneering photonics solutions at Synopsys. You’ll collaborate with engineers, scientists, and software developers across global locations, working together to advance photonics workflows and tools that empower our customers. Our team values innovation, knowledge sharing, and a supportive environment where every member’s ideas contribute to collective success.

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

At Synopsys, innovation is driven by our incredible team around the world. We feel honored to work alongside such talented and passionate individuals who choose to make a difference here every day. We're proud to provide the comprehensive benefits and rewards that our team truly deserves.

Comprehensive medical and healthcare plans that work for you and your family. In addition to company holidays, we have ETO and FTO Programs. Maternity and paternity leave, parenting resources, adoption and surrogacy assistance, and more. Purchase Synopsys common stock at a 15% discount, with a 24 month look-back. Save for your future with our retirement plans that vary by region and country. Competitive salaries.

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Your responsibilities will include:

• Architecting and optimizing high-performance simulation kernels for the Synopsys VCS RTL simulator using advanced C++ techniques.
• Exploring and implementing GPU acceleration strategies with CUDA to significantly reduce simulation runtimes for customers.
• Leveraging deep knowledge of Verilog/SystemVerilog LRM to ensure accurate and reliable simulation across diverse design environments.
• Integrating AI-powered tools (such as Cursor, GitHub Copilot, and generative AI assistants) to automate code generation and debugging processes.
• Mentoring and guiding junior engineers, fostering skills development and technical growth within the team.
• Collaborating with distributed R&D teams to maintain Synopsys' leadership and drive innovation in the EDA industry.

As a senior staff engineer, you will have a significant impact on the company's success. You will be responsible for driving the evolution of the world's fastest Verilog simulator, setting new industry standards for performance and reliability. You will also empower customers to achieve greater productivity and efficiency through advanced simulation capabilities and reduced runtimes.

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

• 8-10 years of relevant experience.
• Expert-level proficiency in C++ with proven experience in performance-critical software development.
• Deep understanding of Verilog/SystemVerilog Language Reference Manuals (LRM) and simulation methodologies.
• Hands-on experience with GPU programming, especially using CUDA for parallel acceleration.
• Familiarity with AI-powered development tools such as Cursor, GitHub Copilot, and generative AI assistants.
• Strong architectural design skills and ability to analyze and optimize complex software systems.
• Experience in mentoring and guiding junior engineers within an R&D environment.

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You will leverage natural language AI tools to streamline workflows and increase documentation throughput. You will create engaging 'how-to' video tutorials using tools like Camtasia. You will prepare and complete work adhering to project goals and schedules. You will ensure customer satisfaction by preparing product information that is useful, accurate, and user-friendly.

The ideal candidate will be currently pursuing a master's degree in Professional Writing/Technical Writing, or a bachelor's degree in Technical Writing, Engineering, Computer Science, or related technical major with a GPA of 3.0 or higher. You must be enrolled full-time and returning to your degree program after the internship. You will submit a writing sample as part of your application. You will have experience with Microsoft Office (Word, Excel, PowerPoint, etc.). You will have strong problem-solving skills and attention to detail. You will have excellent written and verbal communication skills. You will be a team player, responsible, and highly motivated.

Preferred qualifications include graduate students in Professional/Technical Writing programs, or undergraduate Sophomores/Juniors in technical degrees. You will have experience with technical writing or other published works (blogs, journals, literary magazines, etc.). You will have exposure to XML, HTML, Markdown, DITA, and/or DocBook mark-up languages. You will have experience with scripting languages. You will have familiarity with software development tools such as git or GitHub. You will have exposure to engineering simulation software (e.g., Ansys). You will have experience with Camtasia or other video-editing software.

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Key responsibilities include:

• Design, implement, and document custom Python applications using PyAnsys and other libraries
• Capture and implement industry best practices related to modeling and simulation of engineered products
• Create compelling technical marketing content to showcase outcomes of your developed frameworks and examples
• Present results and progress regularly to Synopsys teams
• Collaborate with Customer Excellence teams for technical discussions and to gather requirements

Requirements include:

• Currently enrolled in a Bachelor's or Master's program in engineering or a related technical discipline at an accredited university in the United States or Canada with a minimum 3.0 GPA
• Strong proficiency in Python
• Experience with package management (Poetry/Pip), version control (GitHub), PyAnsys, and web applications is highly desirable
• Experience with NVIDIA Omniverse (Kit, USD, or Create) and knowledge of USD (Universal Scene Description) are highly desirable
• Exposure to Ansys CFD software, CAD packages, and a general understanding of IT hardware/system integration is highly desirable
• Excellent written and verbal communication skills in English
• Self-motivated with strong problem-solving, communication, and time management skills

Key program facts include:

• Program length: 3 months
• Location: Canonsburg, Pennsylvania; Evanston, Illinois; or Waterloo, Ontario
• Full-time/part-time: Full-time
• Start date: May or June 2026 (flexible based on academic calendar)

The base salary range across the U.S. for this role is between $32.00-$48.00 per hour. In addition, this role may be eligible for an annual bonus, equity, and other discretionary bonuses. Synopsys offers comprehensive health, wellness, and financial benefits as part of a competitive total rewards package.

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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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We drive technology innovations that shape the way we live and connect. Catalyzing the era of pervasive intelligence, we deliver design solutions, from electronic design automation to silicon IP, to system design and multiphysics simulation and analysis.

Internship Experience: At Synopsys, interns dive into real-world projects, gaining hands-on experience while collaborating with our passionate teams worldwide,and having fun in the process! You'll have the freedom to share your ideas, unleash your creativity, and explore your interests. This is your opportunity to bring your solutions to life and work with cutting-edge technology that shapes not only the future of innovation but also your own career path.

What You'll Be Doing:

• Enhance and optimize CI/CD pipelines and the build system for a continuously delivered C++/Python framework.
• Collaborate with the simulation data model team to improve multi-application workflows and data transfer processes.
• Develop and maintain tools and scripts using C++, Python, and associated frameworks (CMake, Conan).
• Implement and refine Docker-based environments for streamlined development and deployment.
• Contribute innovative solutions to support efficient simulation data exchange between applications.

What You'll Need:

• Currently pursuing a master's degree in Computer Science, Software Engineering, or a related field.
• Strong programming skills in C++ and Python.
• Familiarity with CMake, Conan, Github, yaml, gRPC, HDF5, and Docker.
• Ability to work effectively within a team, take initiative, and propose innovative approaches.
• Excellent communication and problem-solving skills.

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About the Open Source Software team Our OSS team is embedded in our Science team and works very closely with various engineering and marketing teams. All OSS team members can fluidly move on the production / research spectrum depending on where the needs are or where their interests lie

Responsibilities • Releasing our models to open-source platforms and libraries, e.g., vLLM, GitHub, Hugging Face • Maintaining Mistral’s open-source libraries (mistral-common, mistral-finetune, mistral-inference) • Create and maintain tooling and services: both internal facing (internal research) and external facing (open-source libraries) • Implement and optimize open-source and internal libraries for performance and accuracy, ensuring production readiness and employing cutting-edge technology and innovative approaches • Collaborate with the open-source community (PyTorch, vLLM, Hugging Face)

About you • Master’s degree in Computer Science, Machine Learning, Data Science, or a related field • Experience contributing to popular open-source libraries such as PyTorch, Tensorflow, JAX, vLLM, Transformers, Llama.cpp, ... • Passion for contributing to the open-source software ecosystem • Expert programming skills in Python, PyTorch, MLOps • Adaptable, proactive, and autonomous • Attention to detail and a drive to go the last mile to build almost perfect tools • Deep understanding of machine learning approaches, especially LLMs and algorithms • Low-ego, collaborative and have a real team player mindset

Now, it would be ideal if you have: • Experience with training and fine-tuning large language models (e.g., distillation, supervised fine-tuning, policy optimization) • Experience working with Slurm • Worked with research teams before • Experience as a core-maintainer of a popular ML open-source library

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We'll brainstorm with you to put you in a position to do the work that interests you and that is impactful. You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners and data scientists on a daily basis through GitHub, our forums, or slack.

If you love open-source, are passionate about making complex technology more accessible, and want to contribute to one of the fastest-growing ML ecosystems, then we can't wait to see your application! If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and background complement one another.

More about Hugging Face

We are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supported—regardless of who you are or where you come from. We believe this is foundational to building a great company and community.

Requirements

Please provide a cover letter mentioning why you would like to work in open-source at Hugging Face. We encourage you to mention your skills, potential expertise, and topics on which you would like to work.

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We are looking for a Solution Architect with deep expertise in AI solutions to drive the efficient use of groundbreaking compute platforms across industries. As a trusted technical advisor to our CAE developers and customers, you will be responsible for embedding NVIDIA software into developers' architectures and workflows.

What you'll be doing:

• Support Business Development and Sales teams as part of a team of 4, partnering with Industry Business leads, Account Managers, and Developer Relations managers to drive our developers' ecosystem success.
• Work directly with developers and customers in a customer-facing setting.
• Support developers in adopting NVIDIA libraries and software frameworks as the foundation for modern AI and data platforms.
• Analyze application architectures and find opportunities for acceleration.
• Provide feedback and collaborate with engineering, product, and research teams.
• Deliver trainings, hackathons, and technical demonstrations on NVIDIA solutions and platforms.

What we need to see:

• A MS/PhD degree in Machine Learning, Computational Science, Physics, or a related technical field.
• Minimum of 5 years of technical experience in Physics-Machine Learning.
• Experience in engineering simulations (e.g. fluid dynamics, atmospheric science, Computer-Aided Engineering technologies).
• Familiarity with accelerated computing platforms and GPU-based distributed systems.
• Experience in algorithm programming using languages like Python and C/C++.
• Development experience using major AI frameworks (e.g., PyTorch, Tensorflow, and similar tools).
• Familiarity with containers, numerical libraries, modular software design, version control, GitHub.
• Experience designing, prototyping, and building complex AI/ML-based solutions for customers.
• Able to reason across components such as data pipelines, models, compute, networking, and orchestration.
• Solid written and oral communications skills and familiarity with collaborative environments.
• Great teammate who can learn, react, and adapt quickly with a mentality to work for a fast-paced environment.

Ways to stand out from the crowd:

• Development experience with NVIDIA software libraries and GPUs.
• Experience with Kubernetes, distributed training, and large-scale inference.
• Experience supporting or utilizing PCIe accelerators such as GPUs, FPGAs, DSPs from evaluation to production stages.

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As an Agile Dev Team Member III, you will be responsible for performing daily development activities such as coding, configuration, debugging, and defect fixes using Task & User Story & Feature concepts in agile. You will also support DevOps processes through code base management using GIT, Jenkins, Sonar, and support security and code quality by using tools such as Sonar, Dynatrace for scanning of code to ensure quality and no security flaws.

Responsibilities:

• Performs daily development activities such as coding, configuration, debugging, and defect fixes using Task & User Story & Feature concepts in agile.

• Supports DevOps processes through code base management using GIT, Jenkins, Sonar.

• Supports security and code quality by using tools such as Sonar, Dynatrace for scanning of code to ensure quality and no security flaws.

• Resolves production security flaws.

• Supports production issues/outages ad hoc as needed.

• Maintains code base documentation and organization.

• Researches, analyses, and designs processes within the team and supporting other agile teams on the train.

• Participates in scheduled meetings within the larger team.

• Follows best practices in development and works with Architecture in ensuring cohesive design.

Requirements:

Skills and Capabilities:

• Application Security

• Root Cause Analysis

• Agile Software Development

• SDLC Automation

Software / Tool Skills:

• MS Visual Studio

• MS .NET

• MS .NET CORE

• SQL

• Office Suite

• Test Automation Tools

• Front-End Development (Ex. Angular, Blazer)

• Database - SQL or Oracle

• GITHub - Code Base Management

Benefits:

• Competitive compensation and benefits package:

1. Competitive salary and performance-based bonuses

1. Comprehensive benefits package

1. Career development and training opportunities

1. Flexible work arrangements (remote and/or office-based)

1. Dynamic and inclusive work culture within a globally renowned group

1. Private Health Insurance

1. Pension Plan

1. Paid Time Off

1. Training & Development

Note: Benefits differ based on employee level.

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As an Agile Dev Team Member III, you will be responsible for performing daily development activities such as coding, configuration, debugging, and defect fixes using Task & User Story & Feature concepts in agile. You will also support DevOps processes through code base management using GIT, Jenkins, Sonar, and support security and code quality by using tools such as Sonar, Dynatrace for scanning of code to ensure quality and no security flaws.

Responsibilities:

• Perform daily development activities such as coding, configuration, debugging, and defect fixes using Task & User Story & Feature concepts in agile
• Support DevOps processes through code base management using GIT, Jenkins, Sonar
• Support security and code quality by using tools such as Sonar, Dynatrace for scanning of code to ensure quality and no security flaws
• Resolve production security flaws
• Support production issues/outages ad hoc as needed
• Maintain code base documentation and organization
• Research, analysis, design processes within the team and supporting other agile teams on the train
• Participate in scheduled meetings within the larger team
• Follow best practices in development and work with Architecture in ensuring cohesive design

Requirements:

• Strong analytical skills
• Code analysis
• Understanding structure
• Strong communication and writing skills
• Application Security
• Root Cause Analysis
• Agile Software Development
• SDLC Automation
• MS Visual Studio
• MS .NET
• MS .NET CORE
• SQL
• Office Suite
• Test Automation Tools
• Front-End Development (Ex. Angular, Blazer)
• Database - SQL or Oracle
• GITHub - Code Base Management

Benefits:

• Competitive compensation and benefits package
• Comprehensive benefits package
• Career development and training opportunities
• Flexible work arrangements (remote and/or office-based)
• Dynamic and inclusive work culture within a globally renowned group
• Private Health Insurance
• Pension Plan
• Paid Time Off
• Training & Development

Note: Benefits differ based on employee level.

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BlackRock's purpose is to help more and more people experience financial well-being. As a fiduciary to investors and a leading provider of financial technology, our clients turn to us for the solutions they need when planning for their most important goals.

This is a senior individual contributor engineering role leading the design, development, and implementation of advanced cloud automation solutions. You'll own the execution and delivery of large-scale projects while collaborating across multiple teams in addition to being responsible for hands-on keyboard execution of project components. Example projects include migration of existing on-prem systems to cloud, migration of existing cloud systems to alternate/new cloud(s), integration of acquired systems into our unified environment, and deployment of net-new cloud systems. This role offers high executive visibility, as you will influence strategic decisions and present progress and outcomes to senior leadership.

This role sits within the Aladdin Platform Hosting Services team, which is responsible for building and managing the infrastructure hosting platform upon which the Aladdin system runs. Our team provides reusable infrastructure services and components that allow developers to leverage cloud capabilities in a simple, cloud-agnostic, and scalable manner.

Key Responsibilities

• Architect and implement secure, scalable, and automated cloud infrastructure solutions across multi-cloud environments (AWS, Azure, GCP) tailored for financial workloads.
• Lead automation initiatives using Infrastructure as Code (IaC) tools such as Terraform, Ansible, and CloudFormation to support mission-critical financial applications.
• Develop CI/CD pipelines for cloud deployments and application delivery with strict adherence to financial compliance and audit requirements.
• Champion an automation-first mindset by identifying repetitive tasks and implementing automation solutions—even for processes that initially appear as one-offs.
• Leverage AI tools and frameworks to enhance efficiency, optimize workflows, and enable the broader engineering team to adopt AI-driven solutions.
• Collaborate with risk, compliance, and security teams to ensure all automation processes meet regulatory standards (e.g., SOX, PCI-DSS, FFIEC).
• Adopt a product-centric approach, treating internal platforms and automation frameworks as products with clear ownership, lifecycle management, and continuous improvement.
• Own execution and delivery of large-scale projects, balancing hands-on technical work with cross-functional collaboration across engineering, operations, and governance teams.
• Provide executive-level updates, influencing strategic decisions and ensuring alignment with organizational priorities.
• Evaluate emerging technologies for automation, scalability, and reliability in financial contexts, including cost optimization and resiliency planning.

Required Qualifications

• 10+ years of experience in technology systems development or management, with at least 5+ years focused on cloud automation and infrastructure engineering.
• 3+ years expertise in Infrastructure as Code (IaC) tools such as Terraform, Ansible, or similar.
• Strong experience with cloud platforms (AWS, Azure, GCP) and hybrid environments in regulated industries.
• Proficiency in scripting and programming languages (Python, PowerShell, Bash).
• 3+ years hands-on experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc), containerization (Docker, Kubernetes), and orchestration frameworks.
• Deep understanding of networking, security, and compliance in cloud environments, including encryption, identity management, and audit logging.
• Excellent leadership, communication, and problem-solving skills.
• Experience in contributing to Agile teams so that everyone achieves their goals

Preferred Qualifications

• Advanced certifications such as AWS Certified Solutions Architect – Professional, Azure Solutions Architect Expert, or Google Professional Cloud Architect.
• Experience with financial compliance frameworks (SOX, PCI-DSS, FFIEC) and automated security controls.
• Background in DevSecOps, automated governance, and AI-driven automation strategies.
• Background in Kubernetes (k8s) system management
• Experience with “next-gen” IaC tools such as Crossplane, Radius, Pulumi, env0, spacelift, etc.

You have:

• Automation-First Attitude: Ability to identify repetitive tasks and implement automation solutions proactively, even for processes that initially appear as one-offs.

• AI Proficiency: Skilled in leveraging AI tools to improve efficiency and enable team adoption of AI-driven workflows.

• Product View: Treats internal platforms and automation frameworks as products, ensuring clear ownership, lifecycle management, and continuous improvement.

• Execution & Leadership: Capable of delivering large-scale projects through hands-on technical work while collaborating effectively across multiple teams.

• Executive Communication: Comfortable presenting technical strategies and outcomes to senior leadership and influencing organizational priorities.

• Motivated: You enjoy rolling up your sleeves and getting your hands dirty

• Why Join Us?

• Opportunity to lead strategic cloud automation initiatives for the Aladdin platform in a highly regulated financial environment.

• Work with cutting-edge technologies and shape the future of cloud engineering in finance.

• Collaborative, innovative environment with career growth opportunities and executive exposure.

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.

At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.

This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.

For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock |

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You'll join a highly skilled and fun team that values engineering excellence. We hold high standards in coding practices, security, performance, observability, and test coverage. If you enjoy building solutions that other engineers rely on - and shaping the engineering experience across an organisation - this is the place to do it.

About the Role

In this role, you will:

• Use your deep expertise in C# and .NET to build the core services, libraries, and tools that enable our engineering teams to deliver reliable, scalable products
• Collaborate closely with your squad, other engineering teams, and our architecture and product groups to design and evolve a robust, secure, and high-performing platform
• Champion engineering quality by producing consistent, maintainable, well-tested code
• Mentor and support less experienced engineers, helping them grow in both technical skill and engineering maturity
• Leverage modern AI-assisted development tools to accelerate delivery, improve code quality, support refactoring, and enhance design decision-making
• Help shape best practices for responsible AI usage within our engineering workflows

Requirements

• You're an experienced backend engineer with a proven track record at a senior level
• You bring advanced problem-solving ability and thrive in complex technical environments
• You'll have strong experience with:
• C# and .NET
• Containerization and deployment tooling: Docker, Kubernetes, Octopus Deploy, Azure Pipelines
• Cloud services: Microsoft Azure
• Modern delivery practices: CI/CD, Agile, automated testing
• AI-assisted code development: Using tools like GitHub Copilot or similar to enhance productivity, improve code quality, and support rapid prototyping
• A passion for building high-quality platform capabilities that other teams depend on

This is a hybrid role with a home and office-based split, requiring regular weekly (1 day per week) attendance in the Auckland office. We are only considering applicants with an existing right to work in New Zealand, without requiring employer sponsorship.

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Company: Zoopla

Job Summary:

As a Senior Developer Experience Engineer at Zoopla, you will work on the Developer Experience side of the engineering organisation. You will be responsible for building and maintaining the tools and infrastructure that enable developers to work efficiently and effectively.

Job Description:

Zoopla is one of the UK's most instantly recognisable property brands. We're known and loved by over 91% of the nation (and we're working hard on the other 9%). Our mission is to help the nation make better home decisions - by connecting everyone to their home and giving them personalised insights to help with moving, managing or financing.

We're a growing team that embraces innovation and isn't afraid to push the boundaries. We're only just starting our journey to redefine the digital property landscape, with much more to explore and achieve.

Requirements:

• You're skilled in Next.js and TypeScript.
• You like working with AI and you have built things to leverage its usage (think CLIs, custom agents, workflows, anything related to automating and simplifying processes).
• You're working on your engineering craft, and you practise writing maintainable code, reviewing code, pair programming at times, and writing tests.
• You're commercially driven, resilient, and able to respond to changes without missing a beat.
• You're passionate about building products to delight users, while also paying attention to building products that are stable, scalable, secure, observable, and performant.
• You'll have worked with some type of cloud tech, though we'll make sure you're supported by our SRE folks when you need to flex across the whole stack.

Benefits:

• 25 days annual leave + extra days for years of service
• Day off for volunteering & Digital detox day
• Festive Closure - business closed for period between Christmas and New Year
• Cycle to work and electric car schemes
• Free Calm App membership
• Enhanced Parental leave
• Fertility Treatment Financial Support
• Group Income Protection and private medical insurance
• Gym on-site in London
• 7.5% pension contribution by the company
• Discretionary annual bonus up to 10% of base salary

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The Data Engineer role at Porsche Engineering Romania is essential to digitalization transformation, providing the technical foundation for AI solutions. Working in a SAFe environment, the role supports digital transformation by designing data models, building reliable data pipelines, and ensuring high data quality.

You will design and implement application data models, integrating and processing data from various sources, developing automated data extraction, transformation, and integration pipelines, ensuring data quality and lineage, and orchestrating data architectures for cross-functional teams. You will collaborate with international project teams.

Qualifications

• You have a Bachelor’s or Master’s degree in Information Technology or an equivalent education.
• You have experience with SQL.
• You have knowledge of software development for data pipelines and visualization.
• You are familiar with data management and pipeline deployment.
• You have programming experience (Python).
• You have interest in building cloud-based data transformation pipelines.
• You want to develop data-lake platforms skills (Azure Databricks).
• You have knowledge of CI/CD and containerization tools (e.g., GitHub Actions).
• You speak English fluently; knowledge of German is considered a plus.
• You’re a team player with a service-oriented working style, and as a self-confident person, you always have an eye for the essentials.

Benefits

• Knowledge-Sharing: Working with new technologies and employing innovative methodologies has always been a part of our day-to-day operations, therefore knowledge sharing is an essential part of our work culture. We regularly organize internal technical meetups to build bridges between departments, share best practices, and learn about new ways of thinking.
• Collaboration with Universities and Master’s Program: On average, our company offers 12 master's thesis topics per year, based on allocation interviews for the top-performing students, and 10 Porsche Engineering scholarships for master's program students with outstanding technical and soft skills.
• Expanding our Know-How: It is important to stay ahead of technological trends in order to respond to ever-changing consumer needs, such as making cars safer and more enjoyable to drive. Based on project demands, we provide internal and external soft and technical skill trainings to meet these requirements.
• Performance Running in our Blood: We are part of the Porsche family that specializes in high-performance sports cars, so getting involved in various sporting events and supporting our employees in their quest to become better athletes comes naturally to us.
• Community Support: As part of a very active social community, we take our commitment seriously when it comes to supporting programs and initiatives that make lives better and provide renewed opportunities for children and adults alike. Giving back to the community, whether through donations or employee volunteering, through the most appropriate social causes that reflect our values and culture, is our primary focus.

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The Data Engineer role at Porsche Engineering Romania is essential to digitalization transformation, providing the technical foundation for AI solutions. Working in a SAFe environment, the role supports digital transformation by designing data models, building reliable data pipelines, and ensuring high data quality.

Responsibilities

• Design and implement application data models
• Integrate and process data from various sources
• Develop automated data extraction, transformation, and integration pipelines
• Ensure data quality and lineage
• Orchestrate data architectures for cross-functional teams
• Collaborate with international project teams

Qualifications

• Bachelor’s or Master’s degree in Information Technology or an equivalent education
• Experience with SQL
• Knowledge of software development for data pipelines and visualization
• Familiarity with data management and pipeline deployment
• Programming experience (Python)
• Interest in building cloud-based data transformation pipelines
• Development of data-lake platforms skills (Azure Databricks)
• Knowledge of CI/CD and containerization tools (e.g., GitHub Actions)
• Fluent English; knowledge of German is considered a plus
• Team player with a service-oriented working style, and as a self-confident person, you always have an eye for the essentials

Benefits

• Knowledge-Sharing: Working with new technologies and employing innovative methodologies has always been a part of our day-to-day operations, therefore knowledge sharing is an essential part of our work culture.
• Collaboration with Universities and Master’s Program: On average, our company offers 12 master's thesis topics per year, based on allocation interviews for the top-performing students, and 10 Porsche Engineering scholarships for master's program students with outstanding technical and soft skills.
• Expanding our Know-How: It is important to stay ahead of technological trends in order to respond to ever-changing consumer needs, such as making cars safer and more enjoyable to drive.
• Performance Running in our Blood: We are part of the Porsche family that specializes in high-performance sports cars, so getting involved in various sporting events and supporting our employees in their quest to become better athletes comes naturally to us.
• Community Support: As part of a very active social community, we take our commitment seriously when it comes to supporting programs and initiatives that make lives better and provide renewed opportunities for children and adults alike.

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We are seeking a skilled Validation / Verification Engineer to join our team at Synopsys. As a Staff Engineer, you will be responsible for conducting rigorous testing of Ansys applications, including Meshing in Workbench, Fluent-Meshing, and meshing capabilities for the Python ecosystem.

What You'll Be Doing:

• Conduct thorough testing of Ansys applications, including Meshing in Workbench, Fluent-Meshing, and meshing capabilities for the Python ecosystem.
• Analyze product requirements and develop comprehensive test plans for new features.
• Design, specify, and write new test cases; modify and update existing tests and maintain test scripts for automation and manual environments.
• Perform functional, application, regression, and performance testing in both manual and automated test environments.
• Lead testing initiatives by providing coverage analysis, testing metrics, and participating actively in defect management processes.
• Identify and investigate product defects, collaborating with developers to resolve issues efficiently.
• Operate across diverse computing environments, including Windows, Linux, virtual machines, compute clusters, and cloud infrastructure.

The Impact You Will Have:

• Enhance product reliability and performance, directly influencing customer satisfaction and trust.
• Drive continuous improvement in testing methodologies, ensuring robust coverage and high-quality releases.
• Accelerate validation workflows through automation and advanced scripting, contributing to faster and more efficient development cycles.
• Facilitate seamless integration of new features by proactively identifying and resolving issues.
• Support Synopsys' commitment to innovation by ensuring our products consistently meet industry-leading standards.
• Empower cross-functional teams with actionable insights from testing metrics and defect analysis.
• Champion the voice of the customer, ensuring that usability and functionality align with real-world needs.

What You'll Need:

• Bachelor's degree in Mechanical, Civil, or Aerospace Engineering and 5 years related experience, or Master's degree with 3 years related experience.
• Expertise in meshing technologies for implicit and explicit finite element analysis (FEA) and/or Computational Fluid Dynamics (CFD).
• Advanced proficiency in programming and scripting languages, especially Python.
• Experience with software development, testing processes, and automation tools; proven use of GitHub Copilot to streamline test script development.
• Strong familiarity with Windows and Linux operating systems, including virtualized and cloud environments.
• Commercial experience with meshing and solver products (e.g., Workbench Meshing, Fluent-Meshing, Fluent, CFX, Ansys Mechanical, Ansys LS-Dyna) is highly desirable.

Who You Are:

• Meticulous and thorough, with a keen eye for detail and a passion for quality assurance.
• Excellent communicator and collaborator, able to build strong relationships across teams and disciplines.
• Quick learner, adaptable, and able to thrive in dynamic, geographically distributed teams.
• Problem solver with strong planning skills and a proactive approach to overcoming challenges.
• Genuine enthusiasm for delivering high-quality, reliable software to customers.

The Team You'll Be A Part Of:

You will join the Meshing Development Unit (MDU), a dynamic team dedicated to advancing the application capabilities. The team focuses on developing and validating cutting-edge meshing technologies, collaborating closely with product creation, development, and support specialists. Together, you'll ensure the products meet the evolving needs of customers in engineering and simulation fields, driving innovation and excellence in software quality.

Rewards and Benefits:

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

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At Valvoline Global Operations, we're proud to be The Original Motor Oil, but we've never rested on being first. Founded in 1866, we introduced the world's first branded motor oil, staking our claim as a pioneer in the automotive and industrial solutions industry. Today, as an affiliate of Aramco, one of the world's largest integrated energy and chemicals companies, we are driven by innovation and committed to creating sustainable solutions for a better future.

With a global presence, we develop future-ready products and provide best-in-class services for our partners around the world. For us, originality isn't just about where we began; it's about where we're headed and how we'll lead the way. We are originality in motion.

Our corporate values—Care, Integrity, Passion, Unity, and Excellence—are at the heart of everything we do. These values define how we operate, how we treat one another, and how we engage with our partners, customers, and the communities we serve. At Valvoline Global, we are united in our commitment to:

• Treating everyone with care.
• Acting with unwavering integrity.
• Striving for excellence in all endeavors.
• Delivering on our commitments with passion.
• Collaborating as one unified team.

Job Purpose

The Senior Platform Engineer – MuleSoft Platform & Ops Automation is responsible for the stability, security, scalability, and automation of the MuleSoft Anypoint Platform across cloud and hybrid environments. This role owns the operational health of enterprise integration services, ensuring reliable API and integration execution while reducing manual effort through automation. The role combines deep platform administration expertise with DevOps and operational leadership, acting as the escalation point for complex incidents and platform design decisions. Working closely with architecture, application engineering, DevOps, and security teams, this role ensures MuleSoft remains a resilient, compliant, and high-performing enterprise integration platform.

How You Make an Impact (Job Accountabilities)

• Own the operational stability, performance, and availability of the MuleSoft Anypoint Platform across production and non-production environments
• Administer and optimize MuleSoft Runtime Manager, API Manager, Access Management, AnypointMQ, RPA, Intelligent Document Processing, Partner Manager, and Runtime Fabric or CloudHub deployments
• Administer and optimize use of Design Center, Exchange, and Anypoint Experience Hub for presentation and consumption of APIs to internal and external audiences.
• Monitor, report, and forecast on MuleSoft platform consumption to ensure accuracy in budget forecasting and environment expansion based on platform licensing.
• Administer and optimize delivery of software used on developer workstations such as Anypoint Studio, Anypoint Code Builder, Postman, and Github Desktop

• Design, implement, and maintain CI/CD pipelines to automate MuleSoft deployments, environment promotion, and rollback strategies

• Lead production incident response, root cause analysis, and preventative remediation for integration and API failures
• Implement observability, monitoring, alerting, logging, and SLA frameworks to ensure proactive detection and resolution of platform issues
• Enforce platform standards for security, configuration, and operational readiness in alignment with enterprise architecture and compliance requirements
• Support API gateway configuration, TLS certificates, policy enforcement, and secure integration patterns
• Plan and execute MuleSoft platform upgrades, patches, and capacity scaling initiatives
• Collaborate with infrastructure, security, network, application, DevOps, and architecture teams to deliver reliable, secure, and scalable integration solutions
• Engage with MuleSoft Account Managers, committees, and/or user groups to stay ahead of platform changes, new capabilities, and emerging technologies
• Manage platform documentation in tools such as LeanIX and ServiceNow CMDB
• Architect, implement, and support Disaster Recovery plans for the MuleSoft application environments
• Implement security best practices and solutions for users and applications consuming MuleSoft capabilities

What You Bring to the Role (Qualifications)

• Seven (7) or more years of experience supporting enterprise-class applications, middleware, or integration platforms
• Three (3) or more years of hands-on administration and engineering of the MuleSoft Anypoint Platform
• Strong experience operating MuleSoft in production environments including CloudHub, Runtime Fabric, or hybrid deployments
• Hands-on experience with Code, Container, and Artifact Repository tools such as Bitbucket, Github, Maven, JFrog, or similar
• Experience with CI/CD automation tools such as Jenkins, Azure DevOps, GitHub Actions, Sonarqube, or similar
• Hands-on experience with API-led connectivity, REST and SOAP web services, RAML, and OpenAPI
• Hands-on experience supporting EDI and B2B connectivity and message exchanges with 3rd parties
• Hands-on experience with Event Driven Architecture, Message Queueing, and Pub/Sub integration patterns
• Strong troubleshooting skills using MuleSoft debuggers, flow analyzers, and performance tuning techniques
• Experience with Linux systems, scripting (Python, Bash, etc), and automation for platform operations
• Ability to communicate technical issues and remediation plans to engineering teams and leadership

Competencies Desired

• Hands on admin Mulesoft platform experience – must have
• Hands on admin Webmethods experience – nice to have (legacy architecture)
• Platform Stability and Reliability
• Automation and DevOps Enablement
• Production Incident Leadership
• Security and Compliance Alignment
• Cross-Team Collaboration
• Technical Problem Solving
• Operational Documentation Discipline

Certifications Desired

• MuleSoft Certified Integration Architect
• MuleSoft Certified Platform Integration Architect

Working Conditions / Physical Requirements / Travel Requirements

• Primarily office or remote work with standard computer and virtual collaboration tools
• May participate in 24x7 on-call rotation to support production systems
• Travel requirements: Some may be required for team building and major project rollouts. Travel 5%.

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Responsibilities:

• Lead the development of next Gen Advanced Driver Assistance Systems (ADAS) simulation environment using C++
• Develop ADAS simulation methods, processes, tools and documentation to integrate multiple ADAS features to support feature design, verification and validation
• Manage the deployment and release of the next Gen ADAS simulation environments on CI/CD pipeline to test ADAS software on every code change
• Support the integration of vehicle, sensor and feature control models and software to support the delivery of ADAS features
• Support on-going CAE correlations efforts
• Support the development of plan to transition physical vehicle testing to simulation-based tests
• Contribute to team results through ownership in agile software development process

Qualifications:

• B.S. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechatronics or a related field or a combination of education and equivalent experience
• 3+ years of experience with programming in C++ (11 or above), Python or other Object-Oriented Programming (OOP) languages in Windows or Linux environments

Our Preferred requirements:

• M.S. in Electrical Engineering, Computer Engineering, Computer Science, Robotics, Mechatronics or a related field
• 3+ years of Experience with Linux or other POSIX Operating Systems
• 3+ years of Experience with networking (TCP/IP)
• 3+ years of developing software using modern development tools like Bazel, Docker, Git, GitHub Actions, Kubernetes, and Jenkins
• 3+ years of developing software on Cloud platforms like Google Cloud, AWS or Azure
• 8+ or more years of relevant experience in software design, including debugging, performance analysis, and automation of testing designs
• Experience developing platforms or tools for internal customers.
• Experience with AI, cloud, simulation, accelerated computing, and Python ecosystem
• Experience with optimizing large scale software architecture through concurrency or GPU technology
• Experience with Robot Operating System (ROS) or other middleware
• Experience with vehicle systems and their role in ADAS simulation

Benefits:

• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up child care and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year’s Day
• Paid time off and the option to purchase additional vacation time.

Salary:

This position is a salary grade 6 through 8 and ranges from $83,000 to $160.000.

Workplace:

This position is a hybrid (onsite four days per week) for candidates who are in commuting distance to a Ford hub location.

Job Info:

• Job Identification59584
• Job CategoryPD Operations and Quality
• Posting Date03/05/2026, 07:01 PM
• Degree LevelBachelor's Degree or equivalent
• Job ScheduleFull time
• Locations1200 Sawgrass Corporate Pkwy, Sunrise, FL, 33323, US(Hybrid)
• Preferred DegreeMaster Degree
• RemoteNo

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Constructor is seeking a Backend Engineer to join our Retail Media team. As a Backend Engineer, you will design, deliver, and maintain web services in close collaboration with other engineers.

Key Responsibilities

• Build, deploy, and support services using Python and FastAPI
• Write AWS CloudFormation scripts, Jenkins jobs, and GitHub actions following best industry standards
• Set up service observability, monitoring metrics, and alerting (Prometheus, Grafana, PagerDuty, AWS CloudWatch)
• Implement CI/CD pipelines and separate stability testing
• Collaborate with technical and non-technical business partners to develop and update functionalities

Requirements

• Strong computer science background and familiarity with networking principles
• Experience in designing, developing, and maintaining high-load real-time services
• Proficiency in Infrastructure as Code (IaC) tools like CloudFormation or Terraform for managing cloud resources
• Hands-on experience with setting up and improving CI/CD pipelines
• Proficiency in Python
• Experience in server-side coding for web services and a good understanding of API design principles
• Skilled in setting up and managing observability tools like Prometheus, Grafana, and integrating alert systems like PagerDuty
• Familiarity with Service-Oriented Architecture and knowledge of communication protocols like protobuf
• Experience with NoSQL and relational databases, distributed systems, and caching solutions (MySQL/PostgreSQL, ClickHouse/Athena)
• Experience with any of the major public cloud service providers: AWS, Azure, GCP
• Experience collaborating in cross-functional teams
• Excellent English communication skills

Benefits

• Unlimited vacation time
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity and paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• Base salary: $80k-$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options offered in addition to the base salary
• Regular team offsites to connect and collaborate

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Constructor is a search and discovery platform for ecommerce, built to optimize refugee, conversion rate, and profit. Our search engine is entirely invented in-house utilizing transformers and generative LLMs.

The Team

The ML Recall team delivers measurable KPI improvements for our customers in search, driving better relevance and user satisfaction. We’re focused on building transparent, reproducible, and scalable data-intensive workflows.

Challenges you’ll tackle

• Build, deploy, and maintain our search services, including I/O-bound web services, CPU- and GPU-bound workloads, and data services
• Develop using AWS CloudFormation, AWS CDK, Jenkins, and GitHub Actions
• Optimize system performance, particularly for scaling large ML models efficiently
• Maintain and enhance our observability stack, including tools like Prometheus, Grafana, PagerDuty, and AWS CloudWatch
• Collaborate with both technical and non-technical stakeholders to design and evolve search functionality

Requirements

• Excellent communicator with a passion for performance optimization
• Excited to build scalable ML platforms and practical search systems
• Strong proficiency in Python
• Proven experience designing, developing, and maintaining high-load, distributed, real-time services
• Demonstrated experience setting up and improving CI/CD pipelines
• Hands-on experience with cloud platforms (AWS preferred) and Infrastructure as Code (e.g., Terraform, CloudFormation)
• Proficiency with big data technologies across the end-to-end ML product lifecycle
• Solid experience in server-side web service development and API design

What can help to stand out

• Experience with Rust or another low-level programming language

Benefits

• Unlimited vacation time
• Fully remote team
• Work from home stipend
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• Base salary: $80k–$120k USD, depending on knowledge, skills, experience, and interview results
• Stock options
• Regular team offsites to connect and collaborate

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The Platform Solutions team is dedicated to building and maintaining foundational systems that empower all product teams by providing highly reliable and scalable platform services. We focus on infrastructure-level solutions, enabling seamless functionality while abstracting away complexities for developers across the organization.

As a Platform Engineer in the Platform Solutions team, you will design, develop, and optimize custom platform services to ensure our systems are resilient, secure, and performant. You'll collaborate with engineers across the organization to deliver cutting-edge infrastructure solutions that align with business needs and support the growth of our platform.

Requirements

• Proficiency in at least one programming language such as Go (preferred), Java, Python, C# or similar
• Hands-on experience with AWS services (e.g., ECS, DynamoDB, S3, Lambda, SQS)
• Familiarity with cloud-native system design best practices
• Experience with infrastructure-as-code tools like CloudFormation (preferred), Terraform or Pulumi
• Understanding of CI/CD pipelines and tools such as GitHub Actions, or CircleCI
• Experience with containerization and orchestration tools (e.g., Docker, ECS)
• Knowledge of networking concepts, security, and distributed systems
• Understanding of web concepts and security, including OAuth, SAML, CORS, Cookies, and HTTP security

Benefits

• Unlimited vacation time - we strongly encourage all of our employees take at least 3 weeks per year
• Fully remote team - choose where you live
• Work from home stipend! We want you to have the resources you need to set up your home office
• Apple laptops provided for new employees
• Training and development budget for every employee, refreshed each year
• Maternity & Paternity leave for qualified employees
• Work with smart people who will help you grow and make a meaningful impact
• This position has a base salary range between $80k and $120k USD.

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Responsibilities:

• Develop and maintain the CI/CD infrastructure (Jenkins, Docker, Kubernetes)
• Deploy multi-platform desktop applications
• Port and customize open-source libraries for specific environments (Linux, Windows, real-time OS) and specific compilers (MSVC, GCC, Intel C++ Compiler, ...)
• Work with Python for automation scripts and smaller GUI components

Requirements:

• Intermediate-level knowledge of Python
• In-depth understanding of platforms and operating systems
• Attention to detail in design and implementation
• Experience with large-scale software development
• Familiarity with new technologies
• Fluency in English

• Preferably, a university degree in computer science, software development, or similar
• Familiarity with building large C/C++ projects using industry-standard build systems (CMake, Meson) and package managers (Conan, vcpkg, python package managers)
• Experience with CI/CD tools/pipelines and code management systems (e.g. GitHub Actions, GitLab-CI, Azure DevOps (TFS), Git, Artifactory, Jenkins)
• Knowledge of containerization and orchestration of containerized services (Docker, Kubernetes) and cloud technologies (e.g. Azure, AWS)
• Familiarity with configuration Management (Ansible)

What We Offer:

• Competitive compensation
• Flexible working hours
• Comfortable offices
• Hybrid work option
• Contribution to projects of high technical complexity & business value
• International work environment
• Well-organized work at a steady, sustainable pace

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You’ll work closely with Product Managers, Designers, and Backend Engineers to ship end-to-end features, influence architecture decisions, and raise the quality bar across the team.

Responsibilities:

Lead design and delivery of complex, scalable AI features ensuring resilience and exceptional user experience.

Own user-facing features end-to-end: requirements, technical design, implementation, testing, and rollout.

Collaborate closely with PMs and designers to translate product vision into intuitive UI.

Drive architecture decisions, including performance, accessibility, and maintainability.

Raise the bar with design and code reviews to ensure high engineering standards.

Mentor and support other engineers through code reviews and technical guidance.

Partner with backend and data teams to build cohesive, scalable solutions.

Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.

Make AI part of engineering workflow by using tools like Github Copilot Pro and Claude Code thoughtfully to accelerate implementation, refactoring and test creation.

Qualifications:

Required Qualifications:

Bachelor’s Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Preferred Qualifications:

Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor’s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

5+ years of experience building production web applications

Solid expertise in JavaScript / TypeScript, React, HTML, and CSS.

Solid understanding of web performance, accessibility, and cross-browser compatibility.

Solid problem-solving skills and ability to work independently.

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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

The Finance Data team is embedded within the CFO Org and is responsible for building internal data products that scale analytics across business teams and drive efficiencies in our daily operations. This team provides technical guidance on high-impact, scalable projects across Finance, and is the subject-matter expert in financial and transactional data that supports our Finance day-to-day operations.

About the Role

As an Analytics Engineer, you will be setting the foundation to scale analytics across our business functions and impart best data practices for a rapidly growing organization. We aspire to build the Finance team of the future.

In addition, you will work collaboratively with key stakeholders in Finance and other business teams to understand their pain points and take the lead in proposing viable, future-proof solutions to resolve them. You will also autonomously lead your own projects that deliver business impact and help cultivate a mature data culture among Finance teams.

We are looking for a seasoned engineer who has a proven track record of owning the entire data stack at high transaction volume companies, managing business critical ETL pipelines consumed by non-technical teams. As a generalist “fixer”, you may be deployed across several different Finance domains (e.g. Tax datamart, ERP migration, Procurement automation). For this role we need someone who excels in dynamic environments, adapts quickly to changing needs, and confidently navigates ambiguous or evolving requirements. If you're energized by solving technical problems without a playbook and comfortable wearing multiple hats, this role is for you! To clarify, you will not be responsible for training ML models and neither would we describe this role as ‘product analytics’.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Understand the data needs of Finance teams, including Revenue, Tax, Procurement, Compute & Infrastructure Accounting, Strategic Finance, and translate that scope into technical requirements

• Facilitate the development of data products and tools to for stakeholders to self-service and enable analytics to scale across the company

• Lead dimensional design - define, own, and maintain business facing data marts

• Be a cross-functional champion at upholding high data integrity standards and SLAs for the timely delivery of data

• Build and maintain insightful and reliable dashboards to track both operational and financial Metrics for the Executive team

• Contribute to the future roadmap of the Finance team from a data systems perspective

• Grow to be an expert in Finance Data and OpenAI’s data architecture

You might thrive in this role if you have:

• 7+ years of experience as an Analytics Engineer or in a similar role (Data Analyst or Data Engineer) with a proven track record in shipping canonical datasets

• Empathy towards non-developer stakeholders and their day-to-day pain points

• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or R

• Familiarity with managing distributed data stores (e.g. S3, Trino, Hive, Spark), and experience building multi-step ETL jobs coupled with orchestrating workflows (e.g. Airflow, Dagster)

• Experience in writing unit tests to validate data products and version control (e.g. GitHub, Stash)

• Expert at creating compelling data visualizations with dashboarding tools (e.g. Tableau, Looker or similar)

• Excellent communication skills and ability to present data-driven narratives in both verbal and written form to a non-technical audience

• Experience solving ambiguous problem statements in an early stage environment

You could be an especially great fit if you have:

• Prior experience leading the development of an internal production tool, serving hundreds of cross-functional customers such as Billing Operations, Deal Desk or Go-to-Market teams

• Some frontend experience with React, TypeScript, Retool, Streamlit, or building web apps

• Good understanding of Spark and ability to write, debug, and optimize Spark jobs

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

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the Role

Anthropic's Infrastructure organisation is foundational to our mission of developing AI systems that are reliable, interpretable, and steerable. The systems we build determine how quickly we can train new models, how reliably we can run safety experiments, and how effectively we can scale Claude to millions of users — demonstrating that safe, reliable infrastructure and frontier capabilities can go hand in hand.

Developer Productivity owns the end-to-end experience of how engineers and researchers at Anthropic develop, build, test, and ship code at scale — from the source control and language ecosystems that underpin our monorepo, to the build and CI infrastructure that keeps thousands of daily builds running reliably across multiple cloud providers, to the developer acceleration tooling that deeply integrates Claude into engineering workflows.

_Team Matching: Team matching is determined after the interview process based on interview performance, interests, and business priorities. Please note we may also consider you for different Infrastructure teams._

Responsibilities:

• Own the technical strategy and roadmap for your area, translating team-level goals into concrete execution plans
• Define infrastructure architecture, ensuring the hardest problems get solved — whether by you directly or by working through others
• Design and build scalable, reliable distributed infrastructure and shared libraries that support high-volume workloads across all engineering teams
• Own and evolve build environments, package management, and dependency systems to enable fast, reproducible builds
• Define and implement language ecosystem standards, tooling, and frameworks that drive developer productivity across research and production workloads

You may be a good fit if you:

• Have 10+ years (not including internships or co-ops) of experience in a Software Engineer role, building and operating large-scale developer infrastructure
• Have 3+ years (not including internships or co-ops) of experience leading large scale, complex projects or teams as an engineer or tech lead
• Have deep experience with build systems, CI/CD pipelines, and/or developer tooling in a large monorepo environment
• Have strong proficiency in Python, Rust and/or Go
• Are obsessed with developer productivity and reducing friction in the software development lifecycle
• Have experience with container orchestration and infrastructure at scale
• Have excellent communication skills and enjoy supporting internal partners to improve their development experience
• Are excited about designing foundational systems and are comfortable working independently on ambiguous, high-impact technical challenges

Strong candidates may have:

• Experience with CI orchestration tools (Buildkite, Jenkins, GitHub Actions, or similar) and merge queue management at scale
• Experience building or operating remote build execution systems (Bazel Remote Execution API, BuildBarn, BuildBuddy, or similar)
• Experience with Nix/NixOS/Docker and managing large image / package sets at scale
• Experience building CLI tools, developer-facing services, and GitHub API and automation workflows

_Deadline to apply: None. Applications will be reviewed on a rolling basis._

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$405,000 - $485,000USD

Logistics

Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience.

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.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work.

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.

How we're different

We believe that the highest-impact work in AI safety and development happens at the intersection of technical expertise and societal responsibility. We're committed to building a team that reflects a wide range of backgrounds, perspectives, and experiences. We believe that diversity in all its forms drives better decision-making, more innovative solutions, and greater impact.

We're an equal opportunities employer and welcome applications from all qualified candidates.

If you're excited about this role and want to learn more, please don't hesitate to reach out to us. We look forward to hearing from you!

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Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role:

The IT Operations team keeps Anthropic running — we make sure every employee can do their best work without friction. We're seeking an IT Support Engineer who combines deep technical skills with a genuine service mindset and sound judgment.

Anthropic is growing fast, and our IT operations need to keep pace. That means onboarding at scale, automating repetitive processes (including with Claude), and continuously improving the employee experience. You'll handle support challenges across our primarily macOS environment while contributing to the operational improvements that help us scale. You'll work closely with IT Engineering and Security, with opportunities to grow into more technical infrastructure work over time.

Responsibilities

End-User Support

• Triage and resolve issues across hardware, software, networking, and accounts — primarily through our ticketing system, with additional support via Slack and in-person
• Diagnose and resolve issues across macOS, ChromeOS, iOS, Android, and our core SaaS platforms (Google Workspace, Slack, GitHub, Atlassian)
• Troubleshoot device issues, including enrollment, configuration profiles, and policy enforcement
• Support access management and employee lifecycle workflows (onboarding, offboarding, reorgs)
• Handle escalations requiring cross-team coordination
• Participate in an on-call rotation for urgent issues outside business hours
• Provide hands-on support for user technology, AV systems, conference rooms, and printers

Communication & Documentation

• Communicate clearly with users of all technical levels
• Write and maintain internal documentation including runbooks, how-to guides, and knowledge base articles
• Identify patterns in support requests, surface recurring issues to the team, and identify opportunities for automation or systemic solves

Operational Improvement

• Help streamline onboarding and other high-volume operations as the company scales
• Contribute to automation efforts
• Maintain and improve device management, identity, and access systems
• Assist with scripting (Bash, Python) to automate repetitive tasks

You may be a good fit if you

• Have 5-7+ years of hands-on IT support experience, ideally in a fast-paced or high-growth environment
• Are an excellent communicator who genuinely enjoys helping people solve problems
• Have strong troubleshooting skills and are methodical, curious, and persistent
• Demonstrated supporting macOS endpoints and comfortable supporting ChromeOS, iOS, and Android
• Have significant experience with Google Workspace administration
• Have experience with Slack administration — workspace management, permissions, and troubleshooting
• Have substantial experience supporting and administering additional SaaS tools
• Understand identity and access fundamentals — SSO, MFA, directory services
• Are familiar with MDM fundamentals and endpoint management concepts
• Have experience with basic scripting (Bash or Python) for automation
• Take ownership of problems and follow through until they're resolved
• Think beyond the immediate fix — you ask 'why did this happen?' and 'how do we prevent it?'
• Are organised enough to manage competing priorities without things falling through the cracks
• Propose solutions when you see a process that doesn't scale
• Are looking to develop deeper technical skills and take on more complex systems administration challenges over time

Strong candidates may also

• Be familiar with zero-trust security concepts and endpoint security tooling
• Have experience with networking basics — DNS, DHCP, VPNs, networking fundamentals
• Have contributed to IT projects beyond day-to-day support (migrations, tool rollouts, process redesigns)
• Have experience using AI tools to improve personal or team productivity

Location

This role is based in one of our offices (San Francisco, Seattle or New York). We expect you to be in-office 4 days per week during your first few months, with the opportunity to work remotely up to 2 days per week after that. If you will be based out of the Seattle office we expect you to be in-office 5 days/week.

What Makes This Role Unique

You'll be joining a high-impact IT team supporting some of the world's leading AI researchers and engineers. The pace is fast and you'll have real ownership over your work. This isn't a role where you follow rigid scripts — you'll be trusted to use your judgment, improve our processes, and grow with the team. Because we're scaling rapidly, you'll have meaningful opportunities to shape how IT operations work at Anthropic.

Deadline to apply:

None. Applications will be reviewed on a rolling basis.

Salary

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role's On Target Earnings ('OTE') range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

$170,000 - $230,000USD

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Enterprise Security Engineer

Location

San Francisco

Employment Type

Full time

Department

IT

Compensation

• San Francisco $325K • Offers Equity
• Remote $260K – $292.5K • 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 for eligible employees and 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 and safe time (1 hour per 30 hours worked)

• 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

Within the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.

Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.

About the Role

As an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.

In this role, you will:

• Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.

• Designing and operating security controls aligned to compliance frameworks, such as: SOX (Sarbanes-Oxley), SOC 2 Type II, ISO 27001, NIST CSF.

• Creating, optimizing, and delivering audit artifacts to security auditors.

• Contribute to and enforce OpenAI’s IT and Security policies and procedures.

• Monitor internal and external systems for security threats and respond to alerts.

• Contribute to and enforce our company's IT and Security policies and procedures.

• Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.

• Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.

• Devise novel sharing controls and associated monitoring to protect company data, including intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.

• Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.

• Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.

• Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.

• Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.

• Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.

You might thrive in this role if you have:

• Experience in protecting and managing macOS fleets.

• Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).

• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).

• Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.

• Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.

• Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).

• Knowledge of modern adversary tactics, techniques, and procedures.

• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

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 security in mind.

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Enterprise Security Engineer

Location

Remote - US

Employment Type

Full time

Location Type

Remote

Department

IT

Compensation

• San Francisco$230K – $325K • Offers Equity
• Remote$260K – $292.5K • 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 for eligible employees and 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 and safe time (1 hour per 30 hours worked)

• 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

Within the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.

Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.

About the Role

As an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.

This role is open to remote employees, or relocation assistance is available to San Francisco.

In this role, you will:

• Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.

• Monitor internal and external systems for security threats and respond to alerts.

• Contribute to and enforce our company's IT and Security policies and procedures.

• Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.

• Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.

• Devise novel sharing controls and associated monitoring to protect company data, including  intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.

• Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.

• Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.

• Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.

• Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.

• Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.

You might thrive in this role if you have:

• Experience in protecting and managing macOS fleets.

• Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).

• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).

• Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.

• Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.

• Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).

• Knowledge of modern adversary tactics, techniques, and procedures.

• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

XML job scraping automation by YubHub

About the Team

Within the OpenAI Security organization, our IT team works to ensure our team of researchers, engineers, and staff have the tools they need to work comfortably, securely, and with minimal interruptions. As an Enterprise Security Engineer, you will work in a highly technical and employee-focused environment.

Our IT team is a small and nimble team, where you’ll have the opportunity to dive into a wide breadth of areas and build from the ground up. We’re well supported and well resourced, and have a mandate to deliver a world-class enterprise security program to our teams.

About the Role

As an Enterprise Security Engineer, you will be responsible for implementing and managing the security of OpenAI's internal information systems’ infrastructure and processes. You will work closely with our IT and Security teams to develop security capabilities, enforce security policies, and monitor internal systems for security threats.

Responsibilities

• Develop and implement security measures to protect our company's information assets against unauthorized access, disclosure, or misuse.

• Monitor internal and external systems for security threats and respond to alerts.

• Contribute to and enforce our company's IT and Security policies and procedures.

• Work closely with our IT department to harden our infrastructure using best practices in AzureAD, GSuite, Github, and other SaaS tooling.

• Advise our employees on best practices for maintaining the security of their endpoints, and office AV and network infrastructure.

• Devise novel sharing controls and associated monitoring to protect company data, including intelligent groups management, Data Loss Prevention (DLP) and other security controls as appropriate.

• Employ forward-thinking models like “secure by default” and “zero trust” to create sustainably secure environments for knowledge workers and developers.

• Identify and remediate vulnerabilities in our internal systems, adhering to best practices for data security.

• Use our own AI-driven models to develop systems for improved security detection and response, data classification, and other security-related tasks.

• Educate employees on the importance of data security, and advise them on best practices for maintaining a secure environment.

• Contribute to OpenAI's endpoint and cloud security roadmaps by staying up to date with the latest security threats, and making recommendations for improving our security posture.

Requirements

• Experience in protecting and managing macOS fleets.

• Experience deploying and managing endpoint security solutions (e.g. management frameworks, EDR tools).

• Experience with public cloud service providers (e.g. Amazon AWS, Microsoft Azure).

• Experience with identity and access management frameworks and protocols, including SAML, OAUTH, and SCIM.

• Experience with e-mail security protocols (e.g. SPF, DKIM, DMARC) and controls.

• Intermediate or advanced proficiency with a scripting language (e.g. Python, Bash, or similar).

• Knowledge of modern adversary tactics, techniques, and procedures.

• Ability to empathize and collaborate with colleagues, independently manage and run projects, and prioritize efforts for risk reduction.

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 and safe time (1 hour per 30 hours worked)

• 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.

Salary

• San Francisco: $325K

• Remote: $260K – $292.5K

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.

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Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • 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.

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

The Systems Integration team is responsible for building the infrastructure, tooling, and validation systems that ensure our device software is reliable, testable, and ready to ship. We design and maintain automated test frameworks, hardware-in-the-loop labs, and release pipelines that keep quality signals trustworthy and enable rapid, safe product launches. Our work spans developer tools, automation, systems integration, and cross-team collaboration to ensure every release meets the highest standards.

About the Role

As a Software Engineer, Quality and Developer Tools, you will build and own the systems that validate our device software—from test frameworks and regression infrastructure to hardware-in-the-loop labs and release gates. You’ll design the tooling and automation that keep quality signals trustworthy, integrate them into CI/CD, and make it easy for engineers and QA vendor technicians to execute reliable, repeatable workflows.

Responsibilities

• Test infrastructure & frameworks: Design, implement, and maintain a unified test framework for device software across unit, integration, system, and end-to-end testing, with reproducible runs and integrations with GitHub, Linear, and Slack.

• CI/CD integration & releases: Integrate test suites with Buildkite, enforce promotion criteria for staging and production, auto-file regressions, and publish traceable artifacts and release notes.

• Hardware-in-the-loop lab design & orchestration: Plan and bring up racks, power and networking systems, and orchestration for device testing; support automated flashing, provisioning, and telemetry capture.

• Automation and developer tooling: Develop tools for API and firmware validation, result triage, log capture, replayable bug reports, and workflows that improve engineering velocity and debugging efficiency.

• Quality signals, metrics, and flake control: Build dashboards and alerts for pass rates, stability, and release readiness; detect and quarantine flaky tests; drive root-cause analysis with owners; and track delivery metrics that protect release health.

• Vendor enablement: Create clear procedures and tooling that allow QA vendor technicians to execute repeatable processes, review their reports, and maintain a queue of rig maintenance and repairs.

• Cross-team collaboration: Partner with embedded and systems software teams on testability, and with release infrastructure engineers on pipelines, signing, staged rollouts, and rollback/forward strategies.

Requirements

• Have deep experience building software quality, test automation, or developer tooling systems for hardware products shipped at scale.

• Are proficient in Python, C, C++, or Rust, and have strong Linux fundamentals, including processes, networking, storage, and udev/systemd.

• Have experience building CI/CD pipelines, artifact management systems, and reproducible or isolated test environments.

• Have demonstrated success designing and operating hardware-in-the-loop labs and device orchestration systems at scale.

• Are fluent with test reliability techniques such as failure triage, flake detection and quarantine, and signal-quality guardrails.

• Have strong debugging skills across software, firmware, devices, and release infrastructure.

• Work well across teams and enjoy improving the systems that make engineering and release processes more seamless.

What We Offer

• Competitive salary and equity package

• Comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement plan, and paid parental leave

• Opportunities for professional growth and development, including training and mentorship programs

• Collaborative and dynamic work environment with a team of experienced professionals

• Flexible work arrangements, including remote work options

• Access to cutting-edge technology and tools

• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and experienced software engineer looking for a new challenge, please submit your resume and a cover letter explaining why you are a good fit for this role. We look forward to hearing from you!

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Offensive Security Engineer, Agent Security

Location

San Francisco; New York City; Remote - US; Seattle; Washington, DC

Employment Type

Full time

Department

Security

Compensation

• San Francisco, Seattle, New York$347K – $490K • Offers Equity
• Zone A$312.3K – $490K • Offers Equity
• Zone B$277.6K – $490K • 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.

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

Security is at the foundation of OpenAI’s mission to ensure that artificial general intelligence benefits all of humanity. The Security team protects OpenAI’s technology, people, and products. We are technical in what we build but are operational in how we do our work, and are committed to supporting all products and research at OpenAI. Our Security team tenets include: prioritizing for impact, enabling researchers, preparing for future transformative technologies, and engaging a robust security culture.

About the Role

We're seeking an exceptional Principal-level Offensive Security Engineer to challenge and strengthen OpenAI's security posture. This role isn't your typical red team job - it's an opportunity to engage broadly and deeply, craft innovative attack simulations, collaborate closely with defensive teams, and influence strategic security improvements across the organization.

You'll have the chance to not only find vulnerabilities but actively drive their resolution, automate offensive techniques with cutting-edge technologies, and use your unique attacker perspective to shape our security strategy.

This role will be primarily focused on continuously testing our agent powered products like codex and operator. These systems are uniquely valuable targets because they’re rapidly evolving, have access to perform sensitive actions on behalf of users, and have large, diverse attack surfaces. You will play a crucial role in securing our agents by hunting for realistic vulnerabilities that emerge from the interactions between the applications, infrastructure, and models that power them.

In this role you will:

• Continuously hunt for vulnerabilities in the interactions between the applications, infrastructure, and models that power our agentic products.

• Conduct open-scope red and purple team operations, simulating realistic attack scenarios.

• Collaborate proactively with defensive security teams to enhance detection, response, and mitigation capabilities.

• Perform comprehensive penetration testing on our diverse suite of products.

• Leverage advanced automation and OpenAI technologies to optimize your offensive security work.

• Present insightful, actionable findings clearly and compellingly to inspire impactful change.

• Influence security strategy by providing attacker-driven insights into risk and threat modeling.

You might thrive in this role if you have:

• 7+ years of hands-on red team experience or exceptional accomplishments demonstrating equivalent expertise.

• Deep expertise conducting offensive security operations within modern technology companies.

• Experience designing, developing, or testing assessing the security of AI-powered systems.

• Experience working finding, exploiting and mitigating common vulnerabilities in AI systems like prompt injection, leaking sensitive data, confused deputies, and dynamically generated UI components.

• Exceptional skill in code review, identifying novel and subtle vulnerabilities.

• Proven experience performing offensive security assessments in at least one hyperscaler cloud environment (Azure preferred).

• Demonstrated mastery assessing complex technology stacks, including:

• Highly customized Kubernetes clusters

• Container environments

• CI/CD pipelines

• GitHub security

• macOS and Linux operating systems

• Data science tooling and environments

• Python-based web services

• React-based frontend applications
• Strong intuitive understanding of trust boundaries and risk assessment in dynamic contexts.

• Excellent coding skills, capable of writing robust tools and automation for offensive operations.

• Ability to communicate complex technical concepts to both technical and non-technical stakeholders.

Experience Level

Senior

Employment Type

Full-time

Workplace Type

Remote

Category

Engineering

Industry

Technology

Salary Range

$347K – $490K • Offers Equity

Required Skills

• Red team experience
• Offensive security operations
• AI-powered systems security
• Vulnerability assessment
• Penetration testing
• Automation
• Code review
• Cloud security
• Kubernetes
• Container security
• CI/CD pipelines
• GitHub security
• macOS and Linux operating systems
• Data science tooling and environments
• Python-based web services
• React-based frontend applications

Preferred Skills

• Azure cloud security
• Highly customized Kubernetes clusters
• Container environments
• CI/CD pipelines
• GitHub security
• macOS and Linux operating systems
• Data science tooling and environments
• Python-based web services
• React-based frontend applications

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Department

Consumer Products

Compensation

• $293K – $325K • 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.

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

The Release Engineer team is responsible for building and maintaining the systems that power software delivery—from CI/CD pipelines and artifact management to release automation and fleet telemetry. We ensure software across bootloaders, firmware, operating systems, and cloud services is built reproducibly, validated rigorously, and released safely at scale.

About the Role

As a Release Engineer, you’ll design, build, and operate release infrastructure that enables reliable, secure, and traceable software delivery across complex multi-component systems. You’ll partner closely with embedded, cloud, and QA teams to ensure that every build—from development to OTA deployment—is fast, verifiable, and production-ready.

We’re looking for engineers who take pride in automation, build reproducibility, and system reliability—and who enjoy building the connective tissue that allows hardware and software to ship together seamlessly.

This role is based in San Francisco, CA. We use a hybrid work model of four days in the office per week and offer relocation assistance to new employees.

In this role, you will:

• Design and operate CI/CD pipelines for multi-component builds (bootloader, firmware, OS images, backend, companion apps) using hermetic toolchains.

• Define versioning and branching strategies; automate promotions, changelogs, and artifact retention.

• Integrate unit, integration, and hardware-in-the-loop (HIL) test results; quarantine flaky tests, auto-bisect failures, and block unsafe promotions.

• Build A/B OTA update flows with verity and health checks; run staged rollouts and canaries; implement safe rollback and roll-forward strategies.

• Implement code signing for binaries and firmware, generate SBOMs, run vulnerability scanning, and attach build attestations and provenance.

• Manage dashboards and alerts for build health, promotion latency, failure rates, and fleet update telemetry.

You might thrive in this role if you:

• Have experience building and operating build and release systems for consumer devices, robotics, mobile, or embedded products.

• Are proficient in scripting and automation languages such as Python or Bash.

• Have strong Linux user-space fundamentals.

• Have experience with GitHub Actions or Buildkite, artifact registries, and reproducible toolchains.

• Have experience managing vendor BSPs and toolchains.

• Have delivered secure OTA or image updates with staged rollouts at scale.

• Are familiar with key management and supply-chain hardening.

• Have a track record of metrics-driven improvement and continuous optimization.

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.

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What you'll do

Implement AI solutions to enable efficiency, expansion, and transformation across EA Experiences, directly aligned with EA Experiences' goals. You will:

• Stay informed on the evolution of AI technologies and opportunities to drive efficiency, expansion, and transformation
• Have a deep understanding of AI technologies and solutions, specifically focusing on how they can be integrated into business processes and systems to enhance efficiency
• Collaborate EA Experiences teams to understand their business, processes, opportunities, and challenges.
• Identify opportunities for developing creative AI solutions that enable our teams to focus on creative and innovative work that keeps our fans at the center of what we do
• Be an AI evangelist, promoting the use of AI as a force-multiplier

What you need

• 4+ years experience rapidly prototyping and deploying robust production solutions incorporating software engineering, infrastructure, architectural, and security best practices
• Excellent Python development skills are required, C#, JavaScript, HTML, and CSS are strongly preferred
• Experience using agentic AI software engineering solutions such as Cursor, GitHub CoPilot, or Claude Code
• Extensive experience engineering AI solutions and excellent working knowledge of:
• Prompt and context engineering
• AI agents, agentic architectures, tool calling, and Model Context Protocol (MCP)
• AI assistants, RAG, embeddings, and vector databases
• Model tuning, evaluation, benchmarking, and guardrails
• An excellent understanding of architecture, design principles, and cloud services, such as:
• AWS (Azure, and GCP cloud services are optional)
• Enterprise architecture and microservices design
• Observability and telemetry
• Infrastructure as code and CI/CD
• Data science experience is beneficial
• Content production (e.g. marketing) is strongly beneficial
• Experience navigating the legal, ethical, and security implications for AI
• Thrive working both collaboratively and independently
• Excellent creative, critical thinking, and problem solving skills
• Enjoy and prioritize continual learning- and staying up to date with the newest technologies and solutions and can understand how they can benefit EA Experiences
• Demonstrated ability to clearly and succinctly articulate complex concepts at a senior level
• Experience integrating AI solutions specifically with AAA Console/PC games and businesses is beneficial
• Experience with game engines is beneficial (Unity, Unreal)

Why this matters

This role is a key part of our EA Experiences team, and will help us to create innovative AI solutions that keep our fans at the center of everything we do. As an AI Solutions Engineer, you will be working closely with teams across EA Experiences to develop and implement cutting-edge AI solutions that provide increased efficiency and help our teams focus on what matters most, our fans.

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What you'll do

• Designing and developing virtual prototypes (simulation models) for advanced SoC, MCU, and ECU platforms across automotive, datacentre, AI, and mobile applications.
• Modeling, integrating, and testing various peripherals using SystemC-based platform modeling frameworks.
• Collaborating with stakeholders to define IP modeling requirements and creating ESL (Electronic System Level) model specifications.
• Driving effective closure of technical issues, ensuring high-quality deliverables and alignment with project goals.
• Guiding and mentoring junior engineers and consultants in system-level platform creation, validation, and software bring-up activities.
• Engaging in early software development and testing use cases, including bringing up Linux, Android, AutoSAR, and embedded software applications.
• Contributing to the continuous improvement of virtual prototyping methodologies, tools, and workflows.

What you need

• Strong proficiency in C/C++ programming languages.
• Extensive experience in modeling and integrating SoC peripherals using C/C++, SystemC, or HDL.
• Solid problem-solving skills with the ability to analyze and resolve complex technical challenges.
• Experience developing applications in assembly or higher-level languages.
• Understanding of SoC architectures and serial bus protocols such as CAN, LIN, SPI, and I2C.
• Hands-on experience with Synopsys Virtualizer tool (preferred).
• Knowledge of multi-core platform development and GitHub Copilot/Curson-assisted flows (preferred).

Why this matters

• Accelerate early software development and validation cycles for Synopsys' customers by delivering high-fidelity virtual prototypes.
• Enable faster time-to-market for next-generation automotive, datacentre, AI, and mobile products through robust simulation models.
• Enhance the quality and reliability of software and hardware integration by facilitating early testing and debugging.
• Drive innovation in system-level modeling and contribute to the evolution of Synopsys' virtual prototyping solutions.
• Support customer engagements and success stories by providing expert technical guidance and troubleshooting.
• Mentor and develop the next generation of engineering talent within the team and broader organization.

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What you'll do

You will play a critical role in enabling Perplexity's product, AI, and developer teams to innovate quickly while ensuring reliability, security, and performance at scale.

• Responsibility 1: Leading the design, implementation, and scaling of tools, systems, and platforms.
• Responsibility 2: Enabling Perplexity's product, AI, and developer teams to innovate quickly.

What you need

• Required skill 1: Experience with Python, Go, TypeScript, PostgreSQL, DynamoDB, Redis, FastAPI, React, Bazel, GitHub, and AWS.
• Required skill 2: Strong understanding of cloud infrastructure and experience with cloud-based systems.

Why this matters

This role is critical to Perplexity's success, as it enables the company to innovate quickly and deliver high-quality products to its customers.

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What you'll do

This DevOps Developer role in the Software Quality organization works with Quality Assurance and Game Development teams to create tools and technical strategies. Our goal is to improve automation infrastructure and increase efficiencies in the Game Development and QA processes.

• Operate and maintain tools, ensuring exceptional uptime, secure environments.
• First responder and driving continuous improvement based on root cause analysis.

What you need

• 5+ year experience in managing distributed, scalable and resilient high-performing systems

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What you'll do

• Design, implement, and maintain robust CI/CD pipelines for game clients, backend services, and tools using C++, python, c#, groovy, and more.
• Automate build, deployment, and environment management processes across Dev, Staging, and Production.

What you need

• 7+ years of professional software development or DevOps engineering experience.
• 5+ years of experience with CI/CD systems such as Jenkins, GitLab CI, or GitHub Actions.

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What you'll do

• Develop AI-based foundations and services that allow the Frostbite community to benefit from agentic developer workflows.
• Provide secure and scalable solutions for all stages of the software development lifecycle, including spec-driven coding, validation and releasing.
• Pilot new AI capabilities to assess their impact on developer efficiency and quality.

What you need

• 4+ years of job experience in a hands-on coding role using languages like Python, C# or C++.
• 1+ years of experience using generative AI software engineering solutions such as GitHub CoPilot.
• Proficiency in good development practices (version control, code reviews) and validation (static code analysis, unit testing, CI/CD pipelines).

Why this matters

This role is a key part of Electronic Arts' efforts to transform software engineering and quality processes with the power of generative AI, agents and context engineering. By contributing to this work, you will have a direct impact on the quality and efficiency of game development at Electronic Arts.

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What you'll do

This role combines advanced technical design, coding, and integration expertise with lead responsibilities to mentor developers and uphold coding best practices.

• Lead the design and development of scalable Salesforce solutions across Manufacturing, Sales, and Service Cloud.
• Develop robust front-end (LWC, Aura) and back-end (Apex, SOQL, APIs) components.
• Build and optimise Salesforce Experience Cloud portals that deliver seamless partner and customer experiences.

What you need

• 7-10 years of Salesforce development experience, with deep technical expertise in Apex, LWC, and integrations.
• Minimum 3 years of experience in a technical lead or senior developer role guiding development teams.
• Proven experience across Manufacturing Cloud, Sales Cloud, and Service Cloud, including custom development and integration.

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You'll support us in the development and implementation of software solutions for vehicles. You'll work in agile development teams, document your work results and software processes, and support us in error analysis and correction. You'll also get familiar with new technologies and tools.

Responsibilities

• Support in the development and implementation of software solutions for vehicles
• Work in agile development teams
• Document your work results and software processes
• Support in error analysis and correction
• Get familiar with new technologies and tools

What you need

• A study place for computer science, software technology, or a comparable course of study (at least in the 3rd semester or in the gap year between Bachelor and Master)
• Good knowledge of programming languages such as Kotlin, JavaScript, Python, or similar
• Good knowledge of cloud infrastructure such as AWS, Azure, or similar
• Good knowledge of CI/CD tools such as GitLab, GitHub, Azure DevOps, or similar
• First experiences with data analysis or machine learning
• Interest in software development, quality assurance, and new technologies
• Self-sufficient and structured working style
• Team skills and communication skills
• Very good German and good English knowledge (at least B2)

Why this matters

This internship is a great opportunity to gain practical experience in the field of software development and to contribute to the development of innovative solutions for the automotive industry. You'll work in a dynamic and international team and have the opportunity to learn from experienced professionals. The internship is a great starting point for a career in software development and can lead to a permanent position at Porsche.

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