Software Engineer 5 - Partner Test Tech

Netflix Netflix · Big Tech · Los Gatos, CA +1 · Engineering

Software Engineer 5 role focused on improving the quality and efficiency of testing software releases for smart TVs and set-top devices at Netflix. The role involves building and maintaining device automation and infrastructure, driving testing strategies, improving developer experience, and leveraging data-driven approaches. While the role mentions using AI for improvements and leading AI initiatives, its core function is in software engineering for testing and device automation, not directly building AI models or systems.

What you'd actually do

  1. Identify and implement solutions to improve the efficiency and effectiveness of testing software releases
  2. Improve the developer experience and change-velocity in JavaScript repositories.
  3. Drive the shape of the testing pyramid along with efficient coding patterns in test automation
  4. Drive diversity and stability across a fleet of in-house CE devices using data-driven approaches to ensure the efficient use of devices
  5. Gather and analyze metrics in collaboration with internal teams to identify trends and opportunities to improve the testing effort at a lower cost

Skills

Required

  • quality-minded Software Engineer
  • testing strategies
  • consumer electronic devices
  • coding skills in JavaScript / TypeScript or Python
  • automation frameworks
  • AI-native and use it to drive improvements and efficiency
  • empathy for the developer experience
  • implemented CI/CD systems
  • operated production services
  • lead large-scale projects
  • work seamlessly with cross-functional teams
  • growth mindset

Nice to have

  • web technologies
  • network protocols
  • AWS services
  • created novel solutions to complex problems
  • leveraging existing tools
  • driven projects that impact cross-functional teams
  • led AI initiatives to change the approach for developing and validating software
  • graphics and video streaming technologies

What the JD emphasized

  • AI-native and use it to drive improvements and efficiency
  • led AI initiatives to change the approach for developing and validating software