Netflix
Mid
Backend generalist building internal developer-productivity tools at Netflix's scale
This role sits in Netflix's Infrastructure Engineering org, on one of several Developer Platform teams (Availability Tooling, Knowledge Platform, GenAI Productivity Tools, or System Insights & Productivity Metrics). You'll build backend services in Java or Python that other engineers rely on, scaling to hundreds of users and thousands of requests per minute, while owning the full lifecycle from design docs to production reliability.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Backend service development in Java or Python
- Scaling services to handle high request volume
- Data modeling: relational vs non-relational storage choices
- Design docs and cross-team technical communication
- Testing and reliability ownership for production tools
- AWS (EC2, S3) and Kubernetes/container familiarity (nice-to-have)
Common question themes
Design a service that must scale to thousands of requests/minute for internal users
Choosing a data store and data model for a new internal tool
A time you drove a cross-team change via a design document
A hard testing or reliability problem you solved in a complex system
Why developer-platform/productivity engineering versus product engineering
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