Netflix
Streaming platform with a data-driven culture and freedom & responsibility ethos.
3 Rounds
~14 Days
Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Cloud Engineer
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System Design
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hard
Design a multi-region active-active architecture for Netflix's user authentication service that can survive a complete AWS region failure without manual intervention.
#AWS
#High Availability
#Disaster Recovery
#Distributed Databases
Cloud Engineer
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System Design
•
hard
Design a distributed rate limiter for Netflix's API gateway to prevent abuse from compromised client devices while ensuring legitimate users can still browse the catalog.
#API Gateway
#Distributed Systems
#Rate Limiting
#Redis
Cloud Engineer
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System Design
•
hard
How would you architect a globally distributed configuration management system that pushes feature flag updates to millions of connected Netflix client devices in under 5 seconds?
#Event-Driven Architecture
#Feature Flags
#WebSockets
#Caching
Data Engineer
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System Design
•
hard
Design a real-time data pipeline to process video playback events (play, pause, buffer, stop) from millions of concurrent client devices to calculate real-time viewing metrics and feed the recommendation engine.
#Kafka
#Apache Flink
#Stream Processing
#Event Sourcing
Data Engineer
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System Design
•
hard
Design a batch ETL pipeline to aggregate daily billing and subscription data for millions of users. How do you ensure exactly-once processing and idempotency in case of pipeline failures and retries?
#Idempotency
#Batch Processing
#Data Quality
#Airflow
Data Engineer
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System Design
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hard
Design a system to ingest client-side telemetry data (e.g., UI clicks, scroll depth, hover times) from the Netflix UI. How do you handle schema evolution when UI engineers frequently add new tracking fields?
#Data Ingestion
#Schema Evolution
#Avro/Protobuf
#Kafka
Data Scientist
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System Design
•
medium
How would you design a machine learning system to predict which users are likely to cancel their subscription (churn) in the next 30 days? How do you handle the extreme class imbalance?
#Classification
#Imbalanced Data
#Feature Engineering
Data Scientist
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System Design
•
hard
Design a recommendation model for a new user who just created an account and has no viewing history (the cold start problem). What data would you use and how would you evaluate the model's performance offline and online?
#Recommender Systems
#Cold Start
#Machine Learning Architecture
Machine Learning Engineer
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System Design
•
hard
Design a machine learning system to predict the lifetime value (LTV) and 28-day viewership of a new Netflix Original series before it is released.
#Predictive Modeling
#Content Valuation
#Cold Start
Machine Learning Engineer
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System Design
•
hard
Design the machine learning architecture for the Netflix homepage, specifically focusing on how you would rank and generate the personalized rows of content for a specific user.
#Recommendation Systems
#Ranking
#Personalization
#Microservices
Machine Learning Engineer
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System Design
•
hard
Design a real-time feature pipeline that updates a user's recommendation profile the moment they finish watching a movie.
#Streaming Architecture
#Kafka
#Flink
#Feature Store
Product Manager
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System Design
•
hard
Explain how Netflix's recommendation engine works at a high level, and how you would design a system update to incorporate real-time preferences for our new Live Events (e.g., comedy specials, sports).
#Recommendation Engine
#Machine Learning
#Live Events
Product Manager
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System Design
•
hard
Design the architecture for a 'Watch Party' feature where users can sync video playback and chat globally across different devices.
#Video Sync
#Real-time Chat
#Scalability
Software Engineer
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System Design
•
hard
Design the 'Continue Watching' feature for Netflix. How do you handle the high volume of playback progress writes from millions of concurrent devices while ensuring low-latency reads when a user switches devices?
#Microservices
#Cassandra
#Event Sourcing
#Eventual Consistency
Software Engineer
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System Design
•
medium
Design a distributed rate limiter for the Netflix login service to prevent credential stuffing and brute-force attacks across multiple global regions.
#Security
#Redis
#Distributed Systems
Software Engineer
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System Design
•
hard
Design a real-time aggregation system to calculate and display the 'Top 10 Trending Shows' for different geographical regions.
#Stream Processing
#Kafka
#Redis
#Data Aggregation
Software Engineer
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System Design
•
hard
Design Netflix's global CDN (Open Connect) routing architecture. When a user clicks play, how does the system determine the optimal edge server to stream the video from?
#CDN
#Networking
#Distributed Systems
#Load Balancing
Difficulty Radar
Based on recent AI-sourced data.
Meet Your Interviewers
The "Standard" Interviewer
Senior EngineerFocuses on core competencies, system constraints, and clear communication.
SimulateUnwritten Rules
Think Out Loud
Always explain your thought process before writing code or drawing architecture.