Langfuse - Senior Backend Engineer

• Own and optimize our ingestion pipeline: Langfuse ingests massive volumes of tracing data through a pipeline that flows from our API to ClickHouse. You’ll work on throughput, latency, reliability, and cost efficiency at every stage of this pipeline.
• Make ClickHouse fast: our tracing data lives in ClickHouse. You’ll design schemas, optimize merge strategies, tune batch inserts, write and review analytical queries that power dashboards and the UI. You’ll become an expert on ClickHouse internals - and you’ll have the ClickHouse database engineering team one channel away.
• Build new infrastructure-heavy features: things like LLM-as-a-Judge (where we post-process large volumes of ingested data asynchronously), alerting at scale, client-code execution, or batch dataset operations. Build the foundation and, if you like, dip your toes into the frontend for those.
• Test with real data in production: when evaluating a new ClickHouse schema, migration, or query optimization, you’ll run load tests against production data to validate that changes actually improve things. We don’t guess at performance. We prototype new table designs, run them in parallel on real traffic, and compare before committing.
• Scale for what’s next: we’re growing fast and new product directions like complex long-running agent observability and real-time evaluation push the infrastructure in new ways. You’ll be thinking ahead about what breaks at 10x scale.

• Strong backend engineer who gets excited about database internals, query optimization, and distributed systems
• You get excited when working with a ton of data
• Experience with analytical databases, data pipelines, or high-throughput event processing. ClickHouse experience is a big plus but not required
• You organize yourself. You have strong opinions about what to build and how to ship it
• Comfortable reading and writing TypeScript (our backend) and SQL
• Interest in open source software and genuine enjoyment talking to users about their scaling challenges
• Thrives in a small, accountable team where your output is visible and matters
• 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

• Time off - Flexible time off in the US, generous entitlement in other countries.
• A USD$500 Home office setup if you’re a remote employee.
• Global Gatherings - We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.

Culture - We All Shape It

As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.

Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse. Equal Opportunity & Privacy

Langfuse ingests terabytes of AI tracing data per day. When a Fortune 50 company instruments their application with Langfuse, they hit the infrastructure you built. Everything you ship is open source and immediately visible.

The core of your role is making Langfuse fast and affordable at scale: owning the ingestion pipeline, optimizing ClickHouse data models and queries so dashboards load instantly, and building the backend abstractions that let product engineers ship data-heavy features without reinventing the plumbing each time.

You will also make sure Langfuse runs everywhere. You’ll operate Langfuse Cloud across multiple production environments, and make self-hosting effortless. You will support a single Docker Compose setup to enterprise-grade Helm chart deployment.

You won’t be solving these problems alone. Langfuse is now part of ClickHouse, which means the people who built the database you’re optimizing are one channel away. Few backend roles give you that kind of access to the internals of your core datastore., * Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.