~learn.
Media & streaming · Los Gatos, California

Netflix.

A global video streaming service with its own CDN (Open Connect), recommendations, an ads tier and live events.

its questions lean on
  • video delivery and CDNs
  • resilience and fault tolerance
  • event pipelines
  • caching
  • team-specific problems

The rounds, as candidates describe them

  1. CodingTwo coding rounds; one L5 Ads loop had a TTL cache and an org-chart traversal.source ↗
  2. BehaviouralTwo behavioural rounds with engineering managers.source ↗
  3. Data modelling and system designA data modelling round and a system design round, often on a problem the team works on.source ↗

Reported by candidates

From public interview write-ups; each links its source.

Likely, from what they build

Our pick, not a report: questions that fit Netflix's products.

Study path

Every lesson the questions above point to, once, in order.

  1. 01W01 · DAY 03Rate Limiting at Scale
  2. 02W08 · DAY 01Event Ingestion at Scale
  3. 03IP-16Design an Ad Click Aggregation System
  4. 04IP-17Design a Distributed Job Scheduler
  5. 05W02 · DAY 05Distributed Cron & Job Scheduling
  6. 06W09 · DAY 02Noisy Neighbor Prevention
  7. 07LLD-02Design an LRU Cache
  8. 08W04 · DAY 02Invalidation Strategies
  9. 09SQ-06Netflix Streaming
  10. 10SQ-19YouTube Video Platform
  11. 11W04 · DAY 05Multi-Tier Caching
  12. 12W08 · BOSSReal-Time Analytics for Video Streaming Platform
  13. 13W08 · DAY 02Streaming vs Batch Processing
  14. 14W08 · DAY 04Late-Arriving Data and Correctness
  15. 15IP-11Design a Distributed Cache
  16. 16W01 · DAY 02Replication Trade-offs
  17. 17IP-15Design a Metrics Monitoring and Alerting System
  18. 18W10 · DAY 02Observability
  19. 19IP-06Design a Notification System
  20. 20W06 · DAY 03Advanced Features
  21. 21W02 · DAY 03Circuit Breakers
  22. 22W02 · DAY 01Timeout Hell
  23. 23W10 · DAY 03Deployment Strategies
  24. 24W10 · DAY 05Incident Management

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