
Netflix
Senior
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.
走进这场面试
免费 · 一场按这个岗位校准的真语音模拟
这场面试考什么
- 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
常见提问方向
Design a low-latency, decentralized feature-flag evaluation system
Lead me through an incident you owned on a critical-path service, and the follow-up reliability work
How do you define and enforce a data/API contract for consumers of experimentation data
A time you drove clarity and a decision out of an ambiguous cross-team ask
Coding in Java/JVM on a distributed-systems problem
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