SmithDB
Designs, optimizes, and scales a distributed database storage layer for AI observability using Rust. Engineers performant ingestion/query code, integrates with cloud storage, deploys on Kubernetes, and profiles for cost/speed. Requires 5+ years systems/database experience, Rust proficiency.
About the job
What you'll do
- 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 our distributed database services on Kubernetes (multi-tenant, high throughput, low latency)
- Contribute to observability for the storage engine itself (metrics, tracing, debug tooling)
What you'll bring
- 5+ years in systems/database engineering with strong experience in a systems programming language (Rust, C++). Rust strongly preferred, as it is the language we use.
- Knowledge of database internals is a plus: query engines, storage systems, indexing, and compaction
- Proficiency in systems performance analysis: memory allocation, CPU hotspots, lock contention, async runtimes.
- Familiarity with similar query execution engines is a plus
- Experience with Kubernetes, distributed systems, and cloud object storage is a plus.
- Strong fundamentals in networking, OS concepts, and systems debugging.
Compensation Salary Range: $175,000-$240,000 USD
Skills
Rust, Kubernetes, S3, Gcs, Azure Blob, Distributed Systems, Query Engines, Storage Systems, Performance Profiling, Async Runtimes
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