Software Engineer 5 - Talent Technology

Netflix Netflix · Big Tech · CA · Remote · Engineering

Software Engineer 5 at Netflix focused on building internal tools and integrations to improve employee productivity, with a significant component involving the application of AI, GenAI, and LLMs to solve enterprise problems and enhance employee-facing applications.

What you'd actually do

  1. Design, develop, test, deploy, and operate end-to-end solutions that provide seamless product experiences for employees and internal stakeholders.
  2. Own significant projects within your team or product area, from problem definition through implementation and rollout, including integration with third-party and internal services.
  3. Contribute to the design and implementation of GenAI/LLM-powered features in our employee-facing applications, including evaluating approaches, prototyping, and productionizing solutions.
  4. Make key technical decisions within your scope on architecture, reliability, performance, and maintainability, while aligning with broader N-Tech patterns and paved paths.
  5. Improve and simplify existing systems by reducing complexity, deprecating or decommissioning low-value solutions, and driving migrations or refactors that meaningfully improve quality and efficiency.

Skills

Required

  • 7+ years of experience as a software engineer (or equivalent), with a track record of delivering production systems with quality and reliability.
  • Hands-on experience with AI, GenAI, LLMs, or ML-powered features in real products; comfortable applying existing models and tools to solve business problems.
  • Strong knowledge of data structures, algorithms, and modern software design patterns.
  • Proficiency in Python and Java, and comfort working across multiple languages and frameworks as needed.
  • Experience owning and delivering projects end-to-end: requirements clarification, design, implementation, testing, deployment, and ongoing operation.
  • Experience building and maintaining APIs and integrations between internal systems and third-party services.
  • Familiarity with cloud platforms such as AWS and modern application architectures (e.g., microservices, event-driven systems).

Nice to have

  • Experience with some of: Node, JavaScript/TypeScript, React, Spring Boot, NoSQL datastores, GraphQL, or similar technologies used to build modern web applications.
  • Demonstrated ability to mentor pee

What the JD emphasized

  • AI, GenAI, LLMs, or ML-powered features in real products
  • applying existing models and tools to solve business problems

Other signals

  • applying AI, GenAI, and LLMs to solve concrete enterprise problems
  • GenAI/LLM-powered features in our employee-facing applications
  • applying existing models and tools to solve business problems