Engineer performant Rust code for ingestion and query execution
Optimize for cost and speed, heavily utilizing memory and CPU profiling
Integrate tightly with cloud object stores (S3/GCS/Azure Blob)
Deploy distributed database services on Kubernetes (multi-tenant, high throughput, low latency)
Contribute to observability for the storage engine itself (metrics, tracing, debug tooling)

🎯 Requirements

5+ years in systems/database engineering; strong in a systems language (Rust, C++).
Knowledge of database internals: query engines, storage, indexing, and compaction
Performance analysis: memory, CPU hotspots, lock contention, async runtimes
Familiarity with similar query execution engines
Experience with Kubernetes, distributed systems, and cloud object storage
Strong fundamentals in networking, OS concepts, and systems debugging

🎁 Benefits

Medical, dental, and vision coverage
Flexible vacation
401(k) plan
In-office meals on US days

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