Build the GenAI-powered testing and developer platform behind Commerce Engineering

Netflix's Testing Tools & Infrastructure team, under Consumer Lifecycle Experiences Platform, builds the distributed test-execution platforms, flaky-test analytics, synthetic test data tooling, and GenAI-assisted developer tooling that Commerce Engineering relies on for fast, trustworthy pre-production feedback. This Warsaw-based senior role is platform/infra work (Java, JS/TS, Python, GraphQL, GitHub Actions) — you integrate with test frameworks like Jest, Mocha, and Playwright but do not author test suites yourself.

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What this interview tests

Developer platform and CI/test-infrastructure design at scale
Flaky test detection, quarantine, and self-healing systems
Hands-on GenAI/LLM-powered tooling shipped for developer users
Distributed tracing and correlating test/coverage/runtime data
Framework-agnostic platform integration (Jest, Mocha, Playwright) without owning test authoring

Common question themes

Design a system to detect and quarantine flaky tests across many teams

Describe an LLM-powered developer tool you shipped end-to-end

How you'd scale a distributed test-execution platform to millions of runs/month

Correlating test coverage with code changes and trace data for reporting

Tradeoffs building framework-agnostic vs. framework-specific tooling

How candidates describe it

Real Senior Software Engineer 5 - Consumer Lifecycle Experiences Platform interview stories — retold from candidates' public write-ups, with sources.

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