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Prep/Companies/Netflix

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

CodingTwo coding rounds; one L5 Ads loop had a TTL cache and an org-chart traversal.source ↗
BehaviouralTwo behavioural rounds with engineering managers.source ↗
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.

Design an Ad Frequency Capping SystemSystem design
W01 · DAY 03 · Rate Limiting at Scale →W08 · DAY 01 · Event Ingestion at Scale →IP-16 · Design an Ad Click Aggregation System →reported in:Aced (Exponent) · Netflix L5 Software Engineer, Ads interview experience (2026) ↗
Design a Distributed Job SchedulerSystem design
IP-17 · Design a Distributed Job Scheduler →W02 · DAY 05 · Distributed Cron & Job Scheduling →W09 · DAY 02 · Noisy Neighbor Prevention →reported in:PracHub · Netflix SWE Data Platform loop, ML job scheduler (2026) ↗
Design an In-Memory Cache with TTLLow-level design
LLD-02 · Design an LRU Cache →W04 · DAY 02 · Invalidation Strategies →reported in:Aced (Exponent) · Netflix L5 Software Engineer, Ads interview experience (2026) ↗

Likely, from what they build

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

Design a Video Streaming ServiceSystem design
SQ-06 · Netflix Streaming →SQ-19 · YouTube Video Platform →W04 · DAY 05 · Multi-Tier Caching →
Design a Video Viewing Analytics PipelineSystem design
W08 · BOSS · Real-Time Analytics for Video Streaming Platform →W08 · DAY 02 · Streaming vs Batch Processing →W08 · DAY 04 · Late-Arriving Data and Correctness →
Design a Distributed CacheSystem design
IP-11 · Design a Distributed Cache →W04 · DAY 05 · Multi-Tier Caching →W01 · DAY 02 · Replication Trade-offs →
Design a Metrics Monitoring and Alerting SystemSystem design
IP-15 · Design a Metrics Monitoring and Alerting System →W10 · DAY 02 · Observability →
Design a Notification SystemSystem design
IP-06 · Design a Notification System →W06 · DAY 03 · Real-Time Channels: WebSockets and SSE at Scale →
How do circuit breakers and fallbacks keep a microservice platform up?Concept
W02 · DAY 03 · Circuit Breakers →W02 · DAY 01 · Timeout Hell →
How would you roll out a change safely across regions?Concept
W10 · DAY 03 · Deployment Strategies →W10 · DAY 05 · Incident Management →

Study path

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

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

Company names and logos are trademarks of their owners, shown only to identify each company. This course isn't affiliated with or endorsed by any of them.

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