Summary
✨ AI‑Generated
A senior backend engineer is sought to build and scale high-volume AI data infrastructure. You will own ingestion pipelines, optimize analytical data models and queries, create reusable backend abstractions, operate production cloud environments, and make self-hosted deployments straightforward. The role offers substantial technical ownership and the opportunity to work on open-source systems handling massive daily data volumes.
Highlights
High-impact backend role working on large-scale AI data infrastructure, with ownership of ingestion, database performance, cloud operations, and open-source engineering. Offers exposure to production systems handling very large data volumes and deployment environments ranging from local containers to enterprise infrastructure.
Description
Why Backend Engineering at Langfuse
Your work will have an outsized impact.
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.
You will grow at Langfuse by
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.
Learn More About Our Infrastructure
From Zero to Scale: Langfuse's Infrastructure Evolution — deep dive into how we went from Postgres to ClickHouseMax talking infrastructure at ClickHouse OpenHouse Amsterdam — recording of our CTO walking through the architectureArchitecture
What We're Looking For
Strong backend engineer who gets excited about database internals, query optimization, and distributed systemsYou get excited when working with a ton of dataExperience with analytical databases, data pipelines, or high-throughput event processing.
ClickHouse experience is a big plus but not requiredYou organize yourself.
You have strong opinions about what to build and how to ship itComfortable reading and writing TypeScript (our backend) and SQLInterest in open source software and genuine enjoyment talking to users about their scaling challengesThrives in a small, accountable team where your output is visible and mattersCS or quantitative degree preferred
Bonus Points
Experience with ClickHouse, other OLAP databases, or observability infrastructureFormer founderBackground in building data-intensive systems at scale
Perks
Flexible work environment - ClickHouse is a globally distributed company and remote-friendly.
We currently operate in over 25 countries.Healthcare - Employer contributions towards your healthcare.Equity in the company - Every new team member who joins our company receives stock options.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
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
Compensation Range: €90K - €160K