Build exabyte-scale object/block/file storage services powering Netflix's global cloud infrastructure

Netflix Cloud Engineering's Storage team is hiring an L4 distributed systems engineer to build and operate storage and insights services at exabyte scale, giving platforms across Netflix a consistent way to create and manage storage resources with access control and cost/lifecycle observability. The JD asks for 3-6 years of experience in Java/C++/Go/Python and highly reliable distributed systems in the cloud - expect deep systems and ambiguity-driven behavioral questions in Netflix's known culture-heavy interview style.

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What this interview tests

Building and operating highly reliable distributed systems in the cloud (Java/C++/Go/Python)
Storage systems at scale: object/block/file resource management, access control integration, cost/lifecycle observability
Working effectively in ambiguity: test-and-learn, incremental delivery over big upfront specs
Engaging directly with engineering users to shape APIs and tooling
Cross-functional alignment and proactive communication

Common question themes

Describe a highly reliable distributed system you built and operated in production - what failure modes did you design for?

How would you design a service to manage object/block/file storage resources with access control and lifecycle tracking at exabyte scale?

Tell me about a time requirements were ambiguous - how did you take incremental steps instead of waiting for clarity?

How do you balance 'bias to action' with making well-informed technical bets?

Describe how you gathered requirements directly from engineering users of a platform you built

How candidates describe it

Real Distributed Systems Engineer (L4) interview stories — retold from candidates' public write-ups, with sources.

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Interviewed October 2022 · New York, NY (interview conducted virtually)

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