Netflix
Senior
Netflix Distributed Systems Engineer 5 for the new Warsaw Data Platform team — owning internal datastores or experimentation infrastructure
A senior (7+ years) distributed systems role helping stand up Netflix's Data Platform presence in Poland, landing on either the Online Data Stores team (owning products like ZooKeeper) or the Experimentation Platform team (owning A/B test allocation data and the semantic metric layer). Requires deep experience building fault-tolerant distributed infrastructure, not application-level engineering.
Step into this interview
Free · a live voice mock calibrated to this exact role
What this interview tests
- Distributed data infrastructure design (fault tolerance, scalability, reliability)
- Multi-threading and memory management depth in Java/C++/Python/Scala
- Datastore internals (e.g., ZooKeeper-like coordination systems) or experimentation/A-B-testing allocation systems
- Spark platform experience
- Cross-functional/cross-team technical leadership
- Open source contribution mindset (Netflix OSS)
Common question themes
Design a distributed coordination service (ZooKeeper-like) or an experiment-allocation and metrics pipeline
How would you evolve a legacy internal datastore while keeping it reliable during ownership handoff
Deep dive on multi-threading/concurrency bugs you've debugged in production
Describe leading a cross-functional initiative involving PMs and TPMs, not just engineers
How would you scale a system that must serve hundreds of concurrent A/B experiments reliably
Your experience with Spark for large-scale data processing
Related interviews
Netflix
Senior
Integrations Support Engineer 5 - Ads Conversion API
Netflix
Senior
Software Engineering 5 - Ads Conversion Attribution
Netflix
Senior
Software Engineer 5, Ads Reporting
Cloudflare
Mid
Distributed Systems Engineer - Data Platform (Delivery, Database, Retrieval)
Coinbase
Senior
Senior Software Engineer - Data Platform
Mid