Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
ClickHouse @ 1
Data Pipelines @ 4
Distributed Systems @ 7
Docker
Helm
LLM
OLAP @ 4
Observability @ 4
SQL @ 6
TypeScript @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Langfuse ingests terabytes of AI tracing data per day. This role focuses on making Langfuse fast and affordable at scale by owning the ingestion pipeline, optimizing ClickHouse data models and queries, and building backend abstractions for data-heavy features.
You will operate Langfuse Cloud across multiple production environments and make self-hosting effortless, from a single Docker Compose setup to enterprise-grade Helm chart deployments. Langfuse is now part of ClickHouse, providing access to the engineers who built the database powering the platform.
Responsibilities
- Own and optimize the ingestion pipeline, improving 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 user interface.
- Build infrastructure-heavy features such as LLM-as-a-Judge, large-scale alerting, client-code execution, and batch dataset operations.
- Run load tests against production data to validate ClickHouse schema, migration, and query optimizations.
- Prototype table designs, run them against real traffic, and compare results before committing changes.
- Scale the infrastructure for complex long-running agent observability and real-time evaluation.
- Support deployments ranging from Docker Compose to enterprise-grade Helm charts.
Requirements
- Strong backend engineering skills and an 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.
- ClickHouse experience is a plus but is not required.
- Ability to organize your work and make strong decisions about what to build and how to ship it.
- Interest in open-source software and willingness to discuss users' scaling challenges.
- Ability to thrive in a small, accountable team where work is highly visible.
- A computer science or quantitative degree is preferred.
Bonus Qualifications
- Experience with ClickHouse, other OLAP databases, or observability infrastructure.
- Experience building data-intensive systems at scale.
- Former founder.
Benefits
- Flexible work environment at a globally distributed, remote-friendly company operating in over 25 countries.
- Employer contributions toward healthcare.
- Stock options for every new team member.
- Flexible time off in the United States and generous entitlement in other countries.
- USD 500 home office setup allowance for remote employees.
- Opportunities to participate in company-wide offsites and global gatherings.
ClickHouse provides equal employment opportunities and prohibits discrimination and harassment based on protected characteristics.
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