Staff Network Engineer, Deployment

Crusoe•Denver, CO

1d•Onsite

About The Position

Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. Crusoe Cloud is seeking a high-energy, detail-oriented Staff Network Deployment Engineer to lead the physical and logical implementation of our global network. As we rapidly expand our footprint of high-performance compute (HPC) and GPU-based AI infrastructure, you will be the primary driver behind bringing new data centers and edge sites online. This is a technical, hands-on role that sits at the intersection of Network Engineering, Data Center Operations, and Project Management. You aren't just following a runbook; you are refining the deployment standards for the world’s most innovative AI cloud. You will ensure that every switch, router, and fiber optic link is deployed to spec, validated, and seamlessly handed off to our Operations team.

Requirements

8+ years of experience in network engineering with a heavy focus on large-scale data center deployments and infrastructure projects.
Mastery of Physical Layer Standards: Expert knowledge of structured cabling (SMF/MMF, MPO/MTP), optical transceivers (400G/800G), and data center power/cooling requirements.
Strong Routing and Switching Knowledge: Hands-on experience configuring Arista (EOS), Juniper (Junos), and NVIDIA/Mellanox platforms in a leaf-spine architecture.
Protocol Proficiency: Solid understanding of BGP, EVPN-VXLAN, and LLDP as they relate to large-scale fabric provisioning.
Automation-First Mindset: Proficiency in Python and Ansible for automating repetitive deployment tasks and validating configuration state.
Logistical Excellence: Proven ability to manage multiple complex projects simultaneously across different time zones and physical locations.
Troubleshooting Expertise: Ability to diagnose complex physical layer and link-layer issues using OTDRs, light meters, and packet captures.
Education: Bachelor’s degree in a technical field or equivalent practical experience in hyperscale or ISP environments.

Responsibilities

Execute Global Build-outs: Lead the end-to-end deployment of network infrastructure in new and existing data centers, from initial rack/stack oversight to final hand-off.
Bridge Design and Reality: Take high-level designs from the Network Development team and translate them into site-specific implementation plans, cable maps, and configuration templates.
Validate and Commission: Perform rigorous "Burn-in" testing and site acceptance testing (SAT) for new network clusters, ensuring zero-defect handovers to the Operations team.
Optimize Deployment Automation: Use Python, Ansible, and ZTP (Zero Touch Provisioning) to automate the staging and configuration of hundreds of network devices simultaneously.
Manage On-site Partners: Coordinate with remote hands, structured cabling vendors, and data center providers to ensure physical layer standards (fiber paths, power requirements, and cooling) meet Crusoe’s stringent HPC requirements.
Inventory and Capacity Management: Track global hardware assets and lead the "Turn-up" of new backbone capacity and edge interconnects.