Staff Network Production Engineer, Deployment

Crusoe•Sunnyvale, CA

7d•$165,000 - $200,000•Hybrid

About The Position

Crusoe Cloud is seeking a high-energy, detail-oriented Senior Network Production Engineer to support 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, this role plays a key part in bringing new data centers and edge sites online, directly enabling the scale and reliability our AI cloud customers depend on. This is a technical, hands-on, full-time role that sits at the intersection of Network Engineering, Data Center Operations, and Project Management. The ideal candidate is comfortable both on-site and remote, follows and helps refine deployment standards, and takes ownership of ensuring every switch, router, and fiber optic link is deployed to spec, validated, and seamlessly handed off to our Operations team.

Requirements

5+ years of experience in network engineering with a focus on large-scale data center deployments and infrastructure projects.
Strong knowledge of physical layer standards: solid experience with structured cabling (SMF/MMF, MPO/MTP), optical transceivers (400G/800G), and data center power/cooling requirements.
Solid routing and switching knowledge: hands-on experience configuring Arista (EOS), Juniper (Junos), and NVIDIA/Mellanox platforms in a leaf-spine architecture.
Protocol familiarity: working understanding of BGP, EVPN-VXLAN, and LLDP as they relate to large-scale fabric provisioning.
Automation-minded: proficiency in Python and Ansible for automating repetitive deployment tasks and validating configuration state.
Logistical skills: ability to manage multiple projects simultaneously across different time zones and physical locations.
Troubleshooting skills: ability to diagnose physical layer and link-layer issues using OTDRs, light meters, and packet captures.
Bachelor's degree in a technical field or equivalent practical experience in hyperscale or ISP environments.

Nice To Haves

Experience working in hyperscale, ISP, or large multi-tenant data center environments.
Familiarity with GPU cluster networking (e.g., RDMA/RoCE, InfiniBand, or NVIDIA NCCL-aware fabric design).
Exposure to network monitoring and observability tooling (e.g., Prometheus, Grafana, telemetry-based fabric health checks).
Vendor certifications such as CCNP, JNCIP, or Arista ACE.
Prior experience mentoring junior engineers or contributing to deployment standards/documentation.

Responsibilities

Execute on-site and remote network deployments for new data center and edge site builds, from rack-and-stack through final cutover.
Implement architecture designs into concrete deployment steps: cable maps, port assignments, device configs, and site-specific runbooks.
Write and maintain Python/Ansible automation and ZTP workflows to stage, configure, and validate batches of switches and routers without manual touch.
Support burn-in and site acceptance testing (SAT) on new clusters, chase down failures, and help drive clean handoffs to Operations.
Configure and troubleshoot Arista, Juniper, and NVIDIA/Mellanox gear in leaf-spine fabrics, including BGP, EVPN-VXLAN, and LLDP issues at the link and fabric level.
Work directly with structured cabling vendors, remote hands, and data center providers on-site to resolve physical layer issues — bad fiber runs, power/cooling deviations, mislabeled patch panels — before they block turn-up.
Diagnose physical and link-layer problems using OTDRs, light meters, and packet captures when something doesn't come up clean.
Track hardware inventory and support turn-up of new backbone and edge interconnect capacity against deployment schedules.
Collaborate with other engineers on tricky sites or configs, and flag recurring issues back to the team so they get addressed at the process or automation level.
Participate in an on-call rotation, responding to and troubleshooting network incidents affecting production infrastructure.