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# Langfuse - Senior Backend Engineer

- **Company:** ClickHouse
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Expert
- **Salary:** €90,000.0 - €160,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Databases, Distributed Systems, Online Analytical Processing, Operational Databases, Query Optimization, Standard Sql, TypeScript, Large Language Models, Backend, Low Latency, Free and Open-Source Software, Front End Software Development, Vertica, Data Pipelines
- **Published:** September 1, 2026
- **Apply:** https://www.adzuna.de/details/5861310034

## About the Role

* 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

## Description

* 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.