Software Engineer 5 — Knowledge Platform

Netflix Netflix · Big Tech · Warsaw, Poland · Engineering

Software Engineer to build and operate systems for Netflix's AI-driven documentation and GenAI-powered developer support experiences, applying GenAI and LLM techniques to improve documentation and support responses.

What you'd actually do

  1. Design, build, and operate the systems behind Netflix's AI-driven documentation and GenAI-powered developer support experiences.
  2. Help shape the technical direction and roadmap of a brand-new platform, bringing your own ideas and opinions rather than waiting for scope to be handed to you.
  3. Apply GenAI and LLM-based techniques to real developer problems — improving the quality, accuracy, and usefulness of documentation and support responses.
  4. Navigate ambiguity and rapidly evolving requirements, making thoughtful trade-offs and iterating quickly to deliver impact.
  5. Provide technical leadership: drive projects forward, raise the bar on engineering quality, and mentor peers.

Skills

Required

  • Strong software engineering fundamentals
  • track record of building and operating high-quality production systems
  • Java
  • Python
  • Kotlin
  • C#
  • Genuine curiosity and enthusiasm for GenAI
  • demonstrated desire and willingness to work with GenAI and LLM-driven technologies
  • drive to innovate and create
  • open-ended, ambiguous problems
  • Technical leadership experience
  • fast and effective learner
  • Customer empathy
  • customer-oriented mindset
  • prompt orchestration
  • agentic tooling
  • evaluation frameworks

Nice to have

  • Experience in the knowledge/documentation space
  • platform and developer-productivity background

What the JD emphasized

  • GenAI-driven documentation
  • GenAI-powered support bots
  • GenAI and LLM-based techniques
  • Hands-on experience with GenAI and working with LLM harnesses, such as prompt orchestration, agentic tooling, and evaluation frameworks.

Other signals

  • GenAI-powered developer support bots
  • AI-driven documentation
  • LLM-based techniques