Distributed Systems Engineer

About Beam

AI-Native Cloud Platform

Tech

Our infra code is mostly Go, our backend APIs are Python, and our dashboard is React/Typescript. We work very closely with customers – they’re all in a communal Slack channel with us, so it’s important that you’re interested in interacting with them (luckily, our customers are all developers).

The role

**Beam** is an ultrafast AI inference platform. We built a serverless runtime that launches GPU-backed containers in less than 1 second and quickly scales out to thousands of GPUs. Developers use our platform to serve apps to millions of users around the globe. We're backed by Y Combinator, Tiger Global, and prominent developer-tool founders, including the founder of Snyk and former CTO of GitHub.# **About the Role**We’re looking to hire someone to help us with Platform Engineering work. We’re working on lots of fun problems:* Low-level systems development: working with container runtimes, OCI image formats, and lazy-loading large files from content addressable storage* Efficiently packing thousands of workloads into GPUs across multiple clouds* Working with cutting-edge technologies, like GPU checkpoint restore and CRIUOur backend is mostly in Go, with some Python. **Your work will directly impact millions of users around the world.**# Skills & Experience* 3-5 years of experience working with a large distributed system* Comfortable with Kubernetes* Experience writing a statically typed language, like Golang or Rust* Familiarity with things like gRPC, Helm/Kustomize, and Terraform* Excited to collaborate closely with customers* Enthusiasm for developer tools, cloud native technologies, and open source software# Benefits* Competitive salary and meaningful equity* Join a fast-growing pre-series A company at the ground floor* Health, dental, and vision benefits with 90% coverage for you and 50% for dependents* Opportunities to participate in events across the cloud native community* Fitness stipend, learning budget, and much, much more