Platform Engineer - GPU-Scale Cloud Native

Beam; California (MO); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary

Equity

Health benefits

Learning budget

Fitness stipend

Job summary

Beam is an ultrafast AI inference platform. We’re hiring a Platform Engineer to advance our distributed system and GPU-backed workloads. You’ll work on container runtimes, OCI image formats, and scalable deployments across multiple clouds, using Go and Python with Go/Rust strengths.

Based in NYC and working in an office environment, you’ll collaborate closely with customers and internal teams to ship high-performance cloud-native solutions that touch millions of users worldwide.

Qualifications

• 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.

Responsibilities

• Develop platform engineering capabilities for container runtimes and GPU workloads.
• Collaborate with customers and teams to scale GPU-backed workloads across clouds.

Skills

Distributed systems

Kubernetes

Go

Rust

gRPC

Helm/Kustomize

Terraform

Customer collaboration

Open source

Cloud native

Tools

Go

Rust

Job description

Beam is an ultrafast AI inference platform. We’re hiring a Platform Engineer to advance our distributed system and GPU-backed workloads. You’ll work on container runtimes, OCI image formats, and scalable deployments across multiple clouds, using Go and Python with Go/Rust strengths.

Based in NYC and working in an office environment, you’ll collaborate closely with customers and internal teams to ship high-performance cloud-native solutions that touch millions of users worldwide.