Senior Cloud Infrastructure Engineer

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.

Build world-class observability: You'll own our Datadog setup end to end — dashboards, alerts, and SLOs. When something degrades, you'll ensure we know before our customers do. You'll build the monitoring culture that lets the whole team ship with confidence.

Make self-hosting effortless: Thousands of teams run Langfuse on their own infrastructure. 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.

Automate everything: CI/CD pipelines, infrastructure-as-code, automated scaling, zero-downtime deployments. You'll replace manual processes with automation that makes the team faster and the platform more reliable.

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 and building the foundation before we get there. 10x is always just one quarter away here at Langfuse.

Harden security and compliance: 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.

Strong infrastructure or SRE engineer who gets excited about running systems at scale and making them better every day

Experience operating production workloads on AWS (ECS/Fargate, networking, IAM, S3, etc.) or on comparable hyperscale vendors.

Comfortable with container orchestration — Kubernetes and/or ECS, Helm charts, Docker

Experience with infrastructure-as-code (Terraform, Pulumi, CloudFormation, or similar)

Strong monitoring and observability instincts — you've built dashboards and alerts that actually caught problems (Datadog experience is a plus)

You organize yourself. You have strong opinions about reliability, automation, and how to ship infrastructure changes safely

Interest in open source software and genuine enjoyment helping users debug their self-hosted deployments

Thrives in a small, accountable team where your output is visible and matters

CS or quantitative degree preferred

Experience with ClickHouse Cloud or other managed analytical databases

Background in operating high-throughput event processing or observability infrastructure

Contributions to open source infrastructure tooling (Helm charts, Terraform modules, etc.)

Former founder

We can run the full process to your offer letter in less than 7 days ( hiring process ).

We run a TypeScript monorepo: Next.js on the frontend, Express workers for background jobs, PostgreSQL for transactional data, ClickHouse for tracing at scale, S3 for file storage, and Redis for queues and caching. You should be familiar with a good chunk of this, but we trust you'll pick up the rest quickly ( Stack , Architecture ).

Link to handbook

We trust you to take ownership ( ownership overview ) for your area. You identify what to build, propose solutions (RFCs), and ship them. Everyone here thinks about the user experience and the technical implementation at the same time. Everyone manages their own Linear.

You're never alone. Anyone from the team is happy to go into a whiteboard session with you. 15 minutes of shared discussion can very much improve the overall output.

We implement maker schedule and communication. There are two recurring meetings a week: Monday check-in on priorities (15 min) and a demo session on Fridays (60 min).

Code reviews are mentorship. New joiners get all PRs reviewed to learn the codebase, patterns, and how the systems work ( onboarding guide ).

We use AI as much as possible in our workflows to make our users happy. We encourage everyone to experiment with new tooling and AI workflows.

This role puts you at the forefront of the AI revolution, partnering with engineering teams who are building the technology that will define the next decade(s).

This is an open-source devtools company. We ship daily, talk to customers constantly, and fight for great DX. Reliability and performance are central requirements.

Your work ships under your name. You'll appear on changelog posts for the features you build, and during launch weeks, you'll produce videos to announce what you've shipped to the community. You’ll own the full delivery end to end.

We're solving hard engineering problems: figuring out which features actually help users improve AI product performance, building SDKs developers love, visualizing data-rich traces, rendering massive LLM prompts and completions efficiently in the UI, and processing terabytes of data per day through our ingestion pipeline.

You'll work closely with the ClickHouse team and learn how they build a world-class infrastructure company. We're in a period of strong growth: Langfuse is growing organically and accelerating through ClickHouse's GTM. ( Why we joined ClickHouse )

If you wonder what to build next, our users are a Slack message or a Github discussions post away.

You’re on a continuous learning journey. The AI space develops at breakneck speed and our customers are at the forefront. We need to be ready to meet them where they are and deliver the tools they need just-in-time.