Full Stack Software Engineer 4 - Enterprise Engineering

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

Full Stack Software Engineer at Netflix to integrate AI/LLM capabilities into enterprise employee-facing applications. Responsibilities include designing and implementing AI-powered features, building backend services, and collaborating with cross-functional teams to launch UIs that operationalize workflows at scale.

What you'd actually do

  1. Design and implement intuitive UX flows for AI-powered features (e.g., chat interfaces, autocomplete, content generation, smart suggestions).
  2. Build and maintain backend services and APIs (REST/GraphQL/etc.) that power the UI, with attention to scalability and reliability.
  3. Collaborate with cross-functional teams to integrate generative AI solutions into existing workflow systems.
  4. Work cross-functionally to build, test, deploy, and launch UIs that operationalize our workflows at scale.
  5. Collaborate extremely effectively with product managers, designers, other engineers, stakeholders, and vendors on projects within the team and across all of Netflix.

Skills

Required

  • 4+ years of experience as a software engineer
  • Expert knowledge of data structures, algorithms, and modern design patterns and data layers
  • Knowledge of Python and/or Java
  • Deep experience with Node, JavaScript, React, SpringBoot, NoSQL, GraphQL
  • Demonstrable ability to lead a project and deliver an end product on time, at quality
  • Extensive knowledge of building quality APIs for internal and external products
  • Experience integrating internal and third-party services into your solutions
  • Expert knowledge of cloud computing platforms like Amazon Web Services (AWS), GCP

Nice to have

  • GenAI
  • LLMs

What the JD emphasized

  • Must have some experience with back-end technologies
  • Deep experience with Node, JavaScript, React, SpringBoot, NoSQL, GraphQL
  • Expert knowledge of cloud computing platforms like Amazon Web Services (AWS), GCP

Other signals

  • integrating AI and LLM-powered capabilities into enterprise, employee-facing applications
  • design and implement intuitive UX flows for AI-powered features
  • integrate generative AI solutions into existing workflow systems