Distributed Systems Engineer

About Beam

AI-Native Cloud Platform

Tech description:

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).

Job description:

**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 CRIU

Our 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