Architect resilient distributed microservices powering Netflix's global physical production planning tools

This role is on Netflix's Production Operations Products team, the primary developers of Slate Manager (internal planning) and Production Center (external, for production partners). It requires 5+ years building resilient, high-scale, low-latency distributed microservices, plus proficiency in gRPC/GraphQL/REST and Java or C#. Expect emphasis on setting technical direction, leading incident reviews from on-call, and using AI-assisted coding tools — this is a senior IC role with architectural influence, not a pure execution role.

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What this interview tests

Distributed microservice architecture: resilience, scale, low latency
API design tradeoffs: gRPC vs GraphQL vs REST
Setting technical direction and influencing cross-functional teams
On-call ownership and leading incident reviews
AI-assisted coding tools for engineering velocity
Communicating complex technical tradeoffs to varied stakeholders

Common question themes

Describe a distributed microservice you architected for high availability and low latency

How do you choose between gRPC, GraphQL, and REST for a given service?

Tell me about a time you set technical direction and had to influence skeptical partner teams

Walk me through an incident you led the review for — root cause and follow-up

How have you incorporated AI-assisted coding tools into your day-to-day development?

How do you communicate complex distributed-systems tradeoffs to non-engineering stakeholders?

How candidates describe it

Real Software Engineer 5 - Production Operations interview stories — retold from candidates' public write-ups, with sources.

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