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Network Engineer

🇺🇸 United States

Logistics

Management

Python

TypeScript

GitHub

Machine Learning

Backend

Frontend

$130K - $180K

Network Engineer

from 🇺🇸 United States

$130K - $180K

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 building out our own GPU capacity across new data center sites, and we need someone to stand up that infrastructure and drive deployments to completion.

* Deploy and validate data center network infrastructure (front-end, back-end, BMS, management): configure switches, install and validate optics, coordinate cabling, and drive deployments to completion.
* Ensure physical connectivity meets production standards: coordinate fiber remediation, validate insertion loss and OTDR traces, troubleshoot optical-layer issues, and document as-builts.
* Manage hardware logistics: device staging, rack/stack coordination, RMA, DCIM updates, inventory, and vendor shipments so devices are ready when deployments need them.
* Partner with DC Operations, ICT, Hardware, and Network Engineering to identify blockers early, escalate decisively, and keep multi-team efforts on track.
* Maintain cutsheets, as-builts, validation results, and lessons learned, and contribute to the deployment playbook that lets the team scale.
* Provide operational support during and after deployments: incident response, troubleshooting, and break-fix.

# Skills & Experience

* Hands-on data center network engineering and understanding of modern fabrics (EVPN/VXLAN, BGP, CLOS), having configured production infrastructure.
* You thrive in the field, equally comfortable pulling cable, configuring switches, and troubleshooting the optical layer, and you execute with whatever tooling is available.
* You troubleshoot methodically across physical and logical layers: OTDR traces, insertion loss, BGP sessions, and connectivity through complex topologies.
* You communicate clearly across technical and non-technical teams, document well, and follow through.
* You learn fast and take ownership of ramping on new technology, and you'll travel 50 to 60% to onsite deployments.
* Bonus: AI fabric turn-up experience. Configuration management and automation tooling. Vendor certifications.

# 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



by @maxrusakovic