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LangChainLangChainSan Francisco, CA

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.

175k – 240k/yr
On-site5+ YOEBackend Engineering

About the role

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

RustKubernetesS3GcsAzure BlobDistributed SystemsQuery EnginesStorage SystemsPerformance ProfilingAsync Runtimes
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