
Netflix
Mid
Full-stack engineer building internal enterprise tools and AI-assisted workflows for Netflix's workforce
This role is on Netflix's N-Tech Software Engineering team, building internal solutions — React frontends, RESTful/GraphQL backend services, BFF patterns — that streamline employee productivity and cut cost across the company. The JD wants a full-stack engineer who can lead a project end to end, responsibly apply AI/GenAI to enterprise problems, and navigate ambiguity across build-vs-buy decisions and third-party integrations.
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What this interview tests
- Full-stack development: React frontend + REST/GraphQL backend services
- BFF (backend-for-frontend) pattern design for cross-service integration
- Applying AI/GenAI responsibly to enterprise/internal-tooling problems
- Leading a project end-to-end across build vs. buy decisions
- Working with distributed systems/cloud environments and troubleshooting service-oriented architectures
Common question themes
Walk through a full-stack feature you built, from React UI to backend API design
How did you decide to build vs. buy/integrate a third-party service
Describe a time you applied AI/GenAI to solve an internal tooling problem
Handling ambiguity: a project where priorities shifted mid-stream
Debugging a distributed, service-oriented internal system under production load
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