5 months ago
Base Salary
$175k - $240k/yr
Responsibilities
- Engineer performant Rust code for ingestion and query execution.
- Optimize the system for cost and speed using memory and CPU profiling.
- Integrate the storage layer with cloud object stores including S3, GCS, and Azure Blob.
- Deploy distributed database services on Kubernetes for multi-tenant, high-throughput, and low-latency operation.
- Improve observability for the storage engine through metrics, tracing, and debugging tools.
- Design, optimize, and harden the storage system, including execution, storage layout, performance, and scaling to trillions of traces.
Requirements
- At least five years of systems or database engineering experience.
- Strong experience with a systems programming language such as Rust or C++, with Rust strongly preferred.
- Knowledge of database internals, including query engines, storage systems, indexing, and compaction, is a plus.
- Proficiency in systems performance analysis, including memory allocation, CPU hotspots, lock contention, and asynchronous runtimes.
- Experience with Kubernetes, distributed systems, and cloud object storage is a plus.
- Strong fundamentals in networking, operating system concepts, and systems debugging.
- Familiarity with similar query execution engines is a plus.
Benefits
- Medical, dental, and vision coverage.
- Flexible vacation.
- 401(k) plan.
- Meals on in-office days in the US.
- Meaningful equity and additional perks.
- Role is based in San Francisco.
Tech Stack
About LangChain
LangChain builds open-source frameworks and a commercial platform for developing, evaluating, deploying, and operating LLM-powered agents and applications. Its LangSmith suite provides observability, testing, deployment, and governance for enterprise AI workloads; customers include Nvidia, LinkedIn, Workday, and Bridgewater. Privately held and headquartered in San Francisco, the company was founded in 2022.