Distributed Systems Engineer
- Role
- Backend
- Experience
- Mid
- Employment
- Full-time
- Company size
- Startup
Open to US only. Set where you work from to check your eligibility.
No BS summary
Distributed systems engineer with 3+ years' experience, strong in Go or Rust and Kubernetes. Must be US-authorized (US citizen or valid US visa); role hires in New York, San Francisco or Remote (US). Experience with gRPC, Helm/Kustomize and Terraform and familiarity with GPU/cloud-native inference platforms.
Core skills
Required skills
Optional skills
AI-Native Cloud Platform
Distributed Systems Engineer
$140K - $200K•0.25% - 1.00%•New York, NY, US / San Francisco, CA, US / Remote (US) Job type Full-time Role Engineering, Full stack Experience 3+ years Visa US citizen/visa only Connect directly with founders of the best YC-funded startups. Apply to role › Eli Mernit Founder Eli Mernit Founder
About the role
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
About Beam
Cloud computing is broken. AI has introduced a new generation of workloads, like GPU inference, sandboxes, and agents. These aren't ordinary applications that can be run as Lambdas, or Dockerized apps on VMs: they're massive, stateless containers that need to spin up in <1s, often across multiple clouds and regions. Today, engineers are hacking together infra that breaks under real-world loads. That's where we come in. Our mission is to build the world's best compute platform for AI. Our first product is a serverless inference platform, used by companies like Coca Cola, Geospy and hundreds more. We've built our own container runtime, called beta9, which is designed for launching GPU-backed containers in under 1s. We're a small, highly-technical team, with backgrounds in distributed systems and robotics. We've raised $7M from YC, Tiger, Guy Podjarny (Founder of Snyk), and Jason Warner (former CTO of Github). We're searching for intensely curious, passionate, and hard-working engineers to join our mission in rebuilding the cloud for the age of AI. Founded:2021 Batch:W22 Team Size:5 Status:Active Location:New York City, NY Founders Luke Lombardi Founder Luke Lombardi Founder Eli Mernit Founder Eli Mernit Founder
What you'll do
- 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
What they require
- 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
- Visa: US citizen/visa only
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
AI-Native Cloud Platform. Ultrafast AI inference platform with a serverless runtime that launches GPU-backed containers in less than 1 second.