Senior Platform Engineer, Ingestion
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Job Description
Own ingestion systems and APIs for LangChain's observability platform. Design and operate high-throughput systems built on SmithDB for distributed AI frameworks.
Responsibilities:
- Build and scale critical systems: design and operate high-throughput, data-intensive ingestion and trace-query systems supporting LangSmith, built on SmithDB, our purpose-built database for agent observability. Build monitoring, alerting, and automated recovery so the pipeline stays resilient.
- Set API, SDK, and CLI standards: define and enforce the standards, tooling, and CI that power SDK generation across Python, TypeScript, Go, and Java; keep our developer surfaces consistent, high-quality, and self-served across feature teams.
- Own integrations: build new integrations and maintain existing ones so it's easy to use LangSmith with any AI framework, agent, or tool — keeping us framework-agnostic
- Solve complex problems: debug performance bottlenecks, optimize database queries, and architect solutions for distributed-system challenges
- Respond to incidents: participate in an on-call rotation focused on post-incident learning, automation, and prevention
Requirements:
- hands-on experience designing and running data-intensive systems at scale
- a track record of building high-quality, widely-adopted CLIs, SDKs, or API standards that developers actually enjoy using
- production experience with OSS datastores (PostgreSQL, Redis)
- Strong backend software engineering skills with production-level experience in Go, Python, or TypeScript
- solid knowledge of cloud object storage, Kubernetes, containerized infrastructure, and cloud platforms (GCP, AWS)
- hands-on experience with observability stacks (Datadog, Prometheus/Grafana, OpenTelemetry, or similar)
- "you build it, you run it, you own it," with a focus on sustainable practices
Benefits:
- health and dental coverage
- flexible vacation
- 401(k) plan
- life insurance
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