Amazon
Mid
SDE on AWS OpenSearch's Control Plane, orchestrating fleet-wide cluster lifecycle at scale
You'd join the OpenSearch Control Plane team within AWS Database and Analytics, building the distributed system that manages cluster/collection lifecycle (creation, scale-up/out, upgrade, replication, fail-over) across every AWS region, including the newly launched OpenSearch Serverless NextGen. Work is in Java, Rust, Python, or Go, with real operational ownership — engineers run what they build and drive incident response and RCAs.
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What this interview tests
- Distributed control-plane design (cluster lifecycle, orchestration)
- Failure modes, multi-tenant isolation, blast-radius reasoning
- Incident response and root-cause analysis (operational ownership)
- Coding in Java, Rust, Python, or Go
- Simplifying systems: removing duplication/dead code/config sprawl
- Judicious use of AI coding assistants across the SDLC
Common question themes
Design a fleet-wide node-failure detection and recovery system
Tell me about an incident you owned end-to-end and its RCA
How do you reason about blast radius before writing code for a shared control plane
A time you simplified or removed complexity from an existing system
Coding exercise in Java/Rust/Python/Go on a distributed-systems problem
How you validate AI-assistant-generated code against a correctness/security bar
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