Netflix system design interview prep
Resilience, streaming delivery and strong engineering judgement.
Hiring processes vary by role, level, team and year. This is a general outline compiled from publicly shared candidate reports and company career pages, not insider information. The practice prompts are exercises in each company's product domain, not actual interview questions.
Interview process
- 1
Recruiter and team conversations
Hiring is heavily team-driven, often for experienced engineers.
- 2
Technical interviews
Deep dives on past work, design and problem solving.
- 3
Culture-fit conversations
The culture memo and judgement under ambiguity matter.
- 4
Decision
Hiring manager led.
What they tend to emphasise
Practice prompts
- Design a global video streaming service.
- Design a recommendation serving pipeline.
- Design a chaos-testing platform for microservices.
- Design an A/B experimentation platform.
- Design multi-region failover for a stateful service.
Resources
- Case Studies
Active-Active for Multi-Regional Resiliency
How Netflix routes traffic across regions and survives regional outages.
AdvancedDNSLoad BalancerBy Netflix Engineering · Netflix
- Blogs
High Scalability
Long-running blog dissecting the architectures of large internet companies.
IntermediateDistributed SystemsCachingBy Todd Hoff · High Scalability
- Blogs
Netflix Technology Blog
Engineering posts on resilience, streaming, data and chaos engineering at Netflix.
AdvancedMicroservicesDistributed SystemsBy Netflix Engineering · Netflix
- YouTube
Aced (formerly Exponent)
Mock interviews and walkthroughs from engineers and interviewers, including system design.
IntermediateDistributed SystemsBy Aced
- YouTube
Ashish Pratap Singh
System design concepts, low-level design and interview problems explained from first principles.
BeginnerDistributed SystemsCachingBy Ashish Pratap Singh
- YouTube
ByteMonk
Short animated explainers of system design concepts, distributed systems and how large platforms are built.
BeginnerDistributed SystemsCachingBy ByteMonk
Learning paths & practice
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