Job description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. Commerce Experiences Delivery and Operations team is responsible for CI/CD, end-to-end (E2E) testing infrastructure and operations for Commerce. Our team serves the Commerce Experiences. We build and operate the platforms that let product engineering teams ship with confidence: pipeline orchestration, distributed E2E test execution, flaky-test detection, and the operational tooling that keeps build and test systems fast, reliable, and observable. We are actively investing in AI as a core engineering discipline for our team, not just as a productivity layer. We're building intelligent platform features, agentic systems, and AI-assisted automation for CI/CD, metrics, and testing infrastructure, and we're looking for engineers who want to go beyond calling AI APIs to engineering the platforms, evaluation systems, and optimization layers underneath the infrastructure that makes AI capabilities reliable, cost-efficient, and usable at scale. We are part of a global, diverse organization that includes people of all genders, sexual orientations, upbringings, nationalities, ages, and socioeconomic & educational backgrounds. We encourage anyone passionate about developer platforms, CI/CD, and testing infrastructure to apply. About the Role We're looking for a Software Engineer (L4) to help build and operate the CI/CD pipelines and test infrastructure that our engineering organization depends on every day. You'll work on well-scoped, meaningful pieces of larger platform initiatives, with guidance and mentorship from senior engineers and your manager while growing your ability to independently own projects end You'll work on well-scoped, meaningful pieces of larger platform initiatives, with guidance and mentorship from senior engineers and your manager, while growing your ability to independently own projects end-to-end.to end. This role blends software engineering with operations: you'll write code that improves pipeline reliability and test execution, and you'll also be on the front line when builds break, tests flake, the CI/CD system needs troubleshooting or the production system needs observability investments. It's a strong fit for someone who wants to grow into a platform/infrastructure engineering career and enjoys the satisfaction of unblocking other engineers. We're especially interested in candidates who have strong AI engineering skills with hands-on experience building GenAI-powered tools to solve real operational problems, for example, automating triage of production alerts, summarizing or root-causing incidents, or diagnosing and improving test health across CI/CD systems. If you've shipped an LLM-powered tool that made an on-call rotation, a test suite, or a build pipeline meaningfully better, we want to hear about it. Key Responsibilities Primary stack: JavaScript/TypeScript, Java, Python, GitHub Actions. You'll work alongside test frameworks (Jest, Playwright, ) through platform and pipeline integration work - you won't author or maintain product test suites yourself. • Build and maintain components of our CI/CD pipelines (build orchestration, workflow automation, GitHub Actions) that engineering teams rely on to ship safely and quickly • Develop and support test execution infrastructure, including test scheduling, distributed run coordination, and results reporting • Build and ship AI-powered platform features for CI/CD, metrics, and testing infrastructure, agentic systems and AI-assisted automation for problems like alert triage, incident summarization, and test-health diagnostics • Design and implement the distributed backbone for Commerce Observability agentic AI-driven analysis, inference, and orchestration systems • Contribute to tooling that detects, quarantines, and helps diagnose flaky tests • Partner with test-framework and platform teams to integrate new tools and frameworks into the pipeline • Triage, troubleshoot, and resolve pipeline and test-infrastructure incidents; participate in an on-call rotation for CI/CD and test operations Must Haves • 4+ years of professional software engineering experience (or equivalent practical experience) • Proficiency in at least one of JavaScript/TypeScript, or Java • Working knowledge of CI/CD tooling such as GitHub Actions, Jenkins, or CircleCI • Gen AI stack: You have strong interest and experience with the latest GenAI stack (LLMs, RAG, Agents). You have familiarity with AI Observability systems like Braintrust • You've shipped LLM-powered systems that are near-deterministic, scalable, and monitored in production • You build and maintain evaluation frameworks, not just features. You know how to measure whether an AI-assisted system (e.g., alert triage, test-health diagnostics) is actually working, and use results to guide design decisions • You understand model internals and ML methodologies well enough to evaluate and select models with rigor and to recognize when AI is not the right tool for a problem • Solid understanding of software testing concepts (unit, integration, E2E) and how automated testing fits into a delivery pipeline • Strong debugging and troubleshooting skills, and comfort working in an operational, on-call context • Clear written and verbal communication; able to document technical work for other engineers • Ability to execute well-scoped projects with moderate guidance, and a track record of growing scope and independence over time • A genuine interest in developer productivity, platform engineering, or testing infrastructure Nice to Haves • Experience with E2E or test frameworks such as Playwright, Selenium, Cypress, Jest, or Mocha • Exposure to distributed tracing/observability tools (Datadog, Honeycomb, Splunk, or similar) • Hands-on experience with GenAI-assisted developer tooling • Experience with GraphQL • Prior experience supporting production systems or an on-call rotation • Experience working with a globally distributed team Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $250,000.00 - $413,000.00. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Requirements

Must-haves

Build and maintain components of our CI/CD pipelines (build orchestration, workflow automation, GitHub Actions) that engineering teams rely on to ship safely and quickly
Develop and support test execution infrastructure, including test scheduling, distributed run coordination, and results reporting
Build and ship AI-powered platform features for CI/CD, metrics, and testing infrastructure, agentic systems and AI-assisted automation for problems like alert triage, incident summarization, and test-health diagnostics
Design and implement the distributed backbone for Commerce Observability agentic AI-driven analysis, inference, and orchestration systems
Contribute to tooling that detects, quarantines, and helps diagnose flaky tests
Partner with test-framework and platform teams to integrate new tools and frameworks into the pipeline
Triage, troubleshoot, and resolve pipeline and test-infrastructure incidents; participate in an on-call rotation for CI/CD and test operations
4+ years of professional software engineering experience (or equivalent practical experience)
Proficiency in at least one of JavaScript/TypeScript, or Java
Working knowledge of CI/CD tooling such as GitHub Actions, Jenkins, or CircleCI
Gen AI stack: You have strong interest and experience with the latest GenAI stack (LLMs, RAG, Agents). You have familiarity with AI Observability systems like Braintrust
You've shipped LLM-powered systems that are near-deterministic, scalable, and monitored in production
You understand model internals and ML methodologies well enough to evaluate and select models with rigor and to recognize when AI is not the right tool for a problem
Solid understanding of software testing concepts (unit, integration, E2E) and how automated testing fits into a delivery pipeline
Strong debugging and troubleshooting skills, and comfort working in an operational, on-call context
Clear written and verbal communication; able to document technical work for other engineers
Ability to execute well-scoped projects with moderate guidance, and a track record of growing scope and independence over time

Nice-to-haves

Experience with E2E or test frameworks such as Playwright, Selenium, Cypress, Jest, or Mocha
Exposure to distributed tracing/observability tools (Datadog, Honeycomb, Splunk, or similar)
Hands-on experience with GenAI-assisted developer tooling
Experience with GraphQL
Prior experience supporting production systems or an on-call rotation
Experience working with a globally distributed team
Netflix is a unique culture and environment. Learn more here .

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

ci/cdaigollmjavascripttypescriptjavapythonmlgraphql

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

401(K)

Paid Time Off