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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. 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 CRIU Our backend is mostly in Go, with some Python. Your work will directly impact millions of users around the world. We’re based in NYC and are in the office 5 days a week. 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 Terrafor