Platform Engineer — Distributed Systems, Kubernetes & GPUs

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 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.