Why Cloud Infrastructure at Langfuse
Langfuse processes over a billion trace events per month. When a Fortune 50 company relies on Langfuse in production, they're relying on the infrastructure you operate. You'll own uptime, performance, and cost efficiency across our entire cloud footprint — and you'll make sure every self-hosted deployment runs just as smoothly.
You'll operate Langfuse Cloud on AWS ECS Fargate and ClickHouse Cloud, with Datadog as the observability backbone. You'll also own our public self-hosted infrastructure — including our Helm chart, Docker Compose setup, and everything in between — so that teams from startups to enterprises can run Langfuse on their own terms.
We're scaling fast, and you'll be the person who makes sure the infrastructure grows ahead of demand — not behind it.
Langfuse is now part of ClickHouse, which means the team behind the database at the core of our stack is one channel away. Own Langfuse Cloud operations:
You'll run our production environments on AWS ECS Fargate and ClickHouse Cloud. You'll manage deployments, autoscaling,



capacity planning, and cost optimization — making sure we stay fast and affordable as traffic scales.
You'll own our Datadog setup end to end — dashboards, alerts, and SLOs. You'll build the monitoring culture that lets the whole team ship with confidence.
You'll own and evolve our Helm chart, Docker Compose configuration, and deployment documentation. You'll turn "works on my machine" into "works on every machine" — from a single-node setup to a multi-region enterprise deployment.
CI/CD pipelines, infrastructure‐as‐code, automated scaling, zero‐downtime deployments. As more enterprises adopt Langfuse, you'll help ensure our cloud and self‐hosted deployments meet the security and compliance bar that large organizations require.
Experience operating production workloads on AWS (ECS/Fargate, networking, IAM, S3, etc.) Comfortable with container orchestration — Kubernetes and/or ECS, Helm charts, Docker

📌 Senior Cloud Engineer (Madrid)
🏢 ClickHouse
📍 Madrid