Netflix
Senior
Keep Netflix Live streaming events from melting under launch-moment traffic spikes
This SRE role sits inside Netflix's Live streaming org, owning cloud traffic reliability (API Gateway, inter-service IPC) for high-profile live events. The job is fundamentally about solving the 'thundering herd' problem when everyone hits the service at once at event start, through load testing, observability, and fault injection before showtime, then carrying an on-call pager during the event itself.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Solving thundering-herd traffic spikes on API gateways / IPC at event start
- Load balancing (L4), HTTP caching, reverse proxy tuning at scale
- Observability and monitoring design for live, one-shot events
- Load testing, fault injection, and resilience testing methodology
- Unix/Linux and TCP/IP/DNS/TLS/HTTP systems depth
- Building tooling in Go/Python/Rust and using Kafka/Presto/Spark for real-time analytics
Common question themes
Walk me through diagnosing a thundering-herd spike on a live event launch
How would you design a load test for a system with no retry window
Tell me about an incident you handled on-call during a high-traffic moment
How do you decide between caching, load balancing, and rate limiting for a spike
What does end-to-end observability mean to you for a live system
How have you used real-time analytics pipelines to catch a problem before it escalated
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