Full Stack Software Engineer 5 - Games Social Experiences

Netflix Netflix · Big Tech · United States · Remote · Engineering

Netflix is seeking a Full Stack Software Engineer (L5) for their Games Social Experiences team. This role involves designing and building social features end-to-end, from backend services to client-side UI, across TV, Web, Android, and iOS. The engineer will collaborate with cross-functional teams, architect scalable systems, and ensure product quality, performance, and accessibility. The role also emphasizes leveraging AI-assisted engineering tools to enhance productivity.

What you'd actually do

  1. Design and build social features end-to-end, from backend APIs and data models to client-side UI, across TV, Web, Android, and iOS.
  2. Collaborate cross-functionally with product, design, and engineering partners to create delightful, accessible social experiences for Netflix members worldwide.
  3. Architect maintainable, performant, cross-platform code with effective documentation that can be leveraged by developers on other teams.
  4. Help drive consistency and simplicity across our client and service codebases to accelerate A/B experimentation velocity and maintain high product quality.
  5. Write automated tests and architect code for testability to uphold product quality on a high commit-volume codebase.

Skills

Required

  • full-stack engineering
  • backend services
  • client-side UI
  • distributed systems
  • scaling systems
  • high availability
  • JavaScript/TypeScript
  • React
  • Kotlin
  • Swift
  • server-side Java/Kotlin
  • automated testing
  • cross-platform development

Nice to have

  • TV UI development
  • Android development
  • iOS development
  • Web development
  • AI-assisted engineering tools

What the JD emphasized

  • production experience building for at least two of the following platforms: TV UI, Android, iOS, and Web
  • production experience architecting distributed back-end services and scaling systems for high availability
  • Demonstrates GenAI fluency, actively uses AI-assisted engineering tools to accelerate workflow, exercises strong judgment in validating AI outputs, and shows high learning velocity with emerging AI capabilities.