About Langfuse
Langfuse ingests terabytes of AI tracing data per day and provides open-source infrastructure for processing and observing that data. It is part of ClickHouse.
Responsibilities
•Own and optimize the ingestion pipeline for throughput, latency, reliability, and cost efficiency
•Design ClickHouse schemas, optimize merge strategies, tune batch inserts, and write and review analytical queries for dashboards and the UI
•Build infrastructure-heavy features, including asynchronous LLM-as-a-Judge processing, large-scale alerting, client-code execution, and batch dataset operations
•Run load tests against production data to validate schema, migration, and query optimizations
•Plan for infrastructure needs as the product scales, including long-running agent observability and real-time evaluation
•Operate Langfuse Cloud across multiple production environments and support deployments from Docker Compose to enterprise-grade Helm charts
Requirements
•Strong backend engineering skills and interest in database internals, query optimization, and distributed systems
•Experience with analytical databases, data pipelines, or high-throughput event processing
•Comfortable reading and writing TypeScript and SQL
•Self-organized, with strong opinions about what to build and how to ship it
•Interested in open-source software and enjoys discussing users' scaling challenges
•Thrives in a small, accountable team
•A CS or quantitative degree is preferred
Nice to have
•ClickHouse, other OLAP databases, or observability infrastructure experience
•Experience as a founder
•Experience building data-intensive systems at scale
Benefits
•Employer healthcare contributions
•Stock options for every new team member
•Flexible time off in the US and generous entitlement in other countries
•USD$500 home office setup allowance for remote employees
•Opportunities to connect with colleagues at company-wide offsites
