Langfuse ingests terabytes of AI tracing data per day; everything shipped is open source.
Langfuse is now part of ClickHouse, giving direct access to the database engineering team.
Responsibilities
Own and optimize the ingestion pipeline from API to ClickHouse: throughput, latency, reliability, and cost efficiency.
Make ClickHouse fast: design schemas, optimize merge strategies, tune batch inserts, write and review analytical queries.
Build new infrastructure-heavy features such as LLM-as-a-Judge, alerting at scale, client-code execution, or batch dataset operations.
Test with real data in production: run load tests against production data to validate changes.
Operate Langfuse Cloud across multiple production environments and make self-hosting effortless, from Docker Compose to enterprise-grade Helm chart deployment.
Scale for what's next, thinking ahead about what breaks at 10x scale.
Requirements
Strong backend engineer excited about database internals, query optimization, and distributed systems.
Experience with analytical databases, data pipelines, or high-throughput event processing. ClickHouse experience is a big plus but not required.
Strong opinions about what to build and how to ship it.
Comfortable reading and writing TypeScript (backend) and SQL.
Interest in open source software and talking to users about scaling challenges.
Thrives in a small, accountable team.
CS or quantitative degree preferred.
Bonus points
Experience with ClickHouse, other OLAP databases, or observability infrastructure.
Former founder.
Background in building data-intensive systems at scale.
Conditions
Flexible work environment, remote-friendly, operating in over 25 countries.