Distributed Systems Engineer

Beam; California (MO); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health benefits

Dependent coverage

Fitness stipend

Learning budget

Community events

Job summary

Beam is hiring for Platform Engineering to advance a Go/Python backend and GPU-backed container workloads. You will tackle low-level system problems, container runtimes, and large-scale scheduling across multiple clouds.

The role emphasizes customer collaboration, OSS culture, and work on cutting-edge technologies like GPU checkpoint restore and CRIU. Join a fast-growing, pre-Series A company with strong equity and health benefits.

Qualifications

• 3–5 years of experience working with a large distributed system.
• Proficient with Kubernetes and Go or Rust.
• Experience with gRPC, Helm/Kustomize, and Terraform.
• Familiarity with cloud native technologies and OSS.
• Eager to collaborate with customers.

Responsibilities

• Low-level systems development with container runtimes and OCI image formats.
• Efficiently packing thousands of workloads into GPUs across clouds.
• Work on cutting-edge tech like GPU checkpoint restore and CRIU.

Skills

distributed systems

Go

Golang

Rust

Kubernetes

gRPC

Open source

Customer collaboration

Cloud native

Tools

Terraform

Helm

Kustomize

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