Senior distributed systems engineer building Netflix's A/B testing and feature-flag infrastructure

This is a senior (L5, explicitly titled 'Senior Distributed Systems Engineer' in the JD) role on the Experience Foundation team within Netflix's Experimentation Platform, owning high-scale, low-latency services for experiment allocation and feature-flag evaluation on the critical path for product experiences across every device. You'll own reliability end-to-end (on-call, incident response, observability) and collaborate with teams using Flink, Spark, Elasticsearch, and Druid on experimentation data.

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What this interview tests

High-scale, low-latency experiment allocation and feature-flag evaluation
Decentralized allocation and real-time rules evaluation architecture
Production ownership: on-call, incident response, observability (metrics/logs/traces)
Data/API contract design across pipelines (Flink, Spark, Elasticsearch, Druid)
Coding in Java or another JVM language
Cross-functional collaboration with product engineering and data science partners