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Netflix Senior Software Engineer — Testing Tools & Infrastructure 
Poland, Masovian Voivodeship, Warsaw 
302206077

27.03.2025
Key responsibilities

Common languages and tools: Java, Python, Spring Boot, GraphQL, Kafka, PostgreSQL, and Gradle

  • Implement and manage software solutions that provide accurate and efficient analysis of test runs

  • Create and maintain tools for framework-agnostic analysis of distributed tracing tools for test runs

  • Develop and integrate software solutions which provide high-quality synthetic test data generated from captured production traffic and API schema registries

  • Integrate internal and vendor-provided distributed test execution infrastructure into engineering workflows with a focus on reliability and ease of use

  • Design and develop tools and infrastructure to automatically detect, quarantine, and reproduce flaky tests

  • Correlate test coverage data with code changes, runtime execution, and trace data for comprehensive reporting

  • Maintain a strong focus on scalability, usability, and reliability in platform design to support a growing cohort of stunning engineers

  • Stay informed about industry trends and emerging technologies to ensure Netflix remains at the forefront of testing infrastructure

Who you are
  • A stunning software engineer with experience working on developer platform or productivity teams

  • A meticulous software designer who researches and documents technical tradeoffs clearly and concisely

  • A self-motivated and organized individual who can independently drive engineering-wide solutions

  • A proactive communicator who engages effectively with technical and non-technical stakeholders

  • An advocate for a strong testing culture, having familiarity with popular test frameworks, code coverage tools, continuous integration systems, and post-deployment verification methods (healthy contempt for flaky tests is a plus)

Experience we’d be excited about
  • You have shipped and maintained Java, JavaScript, Python, or Golang code in production

  • You have designed and implemented metrics data pipelines

  • You have assembled JVM Spring Boot applications using Gradle

  • You have generated and analyzed Zipkin traces

  • You have implemented advanced log, metric, or error stack trace analysis