Software Engineer 4 - DevOps, CI/CD

Netflix•Los Gatos, CA

1d•$250,000 - $413,000

About The Position

The Commerce Experiences Delivery and Operations team at Netflix is responsible for CI/CD, end-to-end (E2E) testing infrastructure, and operations for Commerce. This team builds and operates platforms that enable product engineering teams to ship with confidence, including pipeline orchestration, distributed E2E test execution, flaky-test detection, and operational tooling for fast, reliable, and observable build and test systems. Netflix is actively investing in AI as a core engineering discipline, building intelligent platform features, agentic systems, and AI-assisted automation for CI/CD, metrics, and testing infrastructure. They are seeking engineers who want to engineer the platforms, evaluation systems, and optimization layers that make AI capabilities reliable, cost-efficient, and usable at scale. The team is part of a global, diverse organization and encourages applications from individuals passionate about developer platforms, CI/CD, and testing infrastructure.

Requirements

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.

Responsibilities

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.