Staff Network Production Engineer, Deployment

Crusoe

• $165K — $200K *
Telecommunications & Hardware
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years in network engineering focusing on large-scale data center deployments.
  • Strong knowledge of structured cabling and data center power/cooling standards.
  • Experience configuring Arista, Juniper, and NVIDIA/Mellanox platforms.
  • Familiarity with BGP, EVPN-VXLAN, and LLDP protocols.
  • Proficient in Python and Ansible for automation tasks.
  • Ability to manage multiple projects across time zones.
  • Strong troubleshooting skills for physical and link-layer issues.

Responsibilities

  • Execute on-site and remote network deployments for new data centers.
  • Implement architecture designs into deployment phases including configs and maps.
  • Write and maintain automation workflows for device staging and validation.
  • Support site acceptance testing and resolve issues before handoff to Operations.
  • Configure and troubleshoot gear in leaf-spine fabrics.
  • Coordinate with vendors on physical layer issues.
  • Diagnose link-layer problems using testing tools.
  • Track hardware inventory and support new capacity turn-up.
  • Collaborate with cross-functional teams on challenging deployments.
  • Participate in on-call support for network incidents.

Benefits

  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off and holidays
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA
  • Paid parental leave
  • Life insurance and disability coverage
  • Professional development and tuition reimbursement
  • Mental health and wellness support
  • Commuter benefits and cell phone stipend
  • 401(k) plan with company match
  • Volunteer time off
  • Global travel insurance
  • Daily meal allowance
  • Location-specific perks.
Full Job Description
About This Role:

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.

What You'll Be Working On:
  • Network Deployment Execution: Execute on-site and remote network deployments for new data center and edge site builds, from rack-and-stack through final cutover.
  • Implementation Planning: Implement architecture designs into concrete deployment steps: cable maps, port assignments, device configs, and site-specific runbooks.
  • Automation Development: Write and maintain Python/Ansible automation and ZTP workflows to stage, configure, and validate batches of switches and routers without manual touch.
  • Acceptance Testing: Support burn-in and site acceptance testing (SAT) on new clusters, chase down failures, and help drive clean handoffs to Operations.
  • Fabric Configuration & Troubleshooting: 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.
  • Vendor & Physical Layer Coordination: 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.
  • Physical/Link-Layer Diagnostics: Diagnose physical and link-layer problems using OTDRs, light meters, and packet captures when something doesn't come up clean.
  • Inventory & Capacity Tracking: Track hardware inventory and support turn-up of new backbone and edge interconnect capacity against deployment schedules.
  • Cross-Team Collaboration: 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.
  • On-Call Support: Participate in an on-call rotation, responding to and troubleshooting network incidents affecting production infrastructure.


What You'll Bring to the Team:
  • 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.
  • Education: Bachelor's degree in a technical field or equivalent practical experience in hyperscale or ISP environments.


Bonus Points:
  • 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.


Benefits:
  • Competitive compensation and equity packages
  • Restricted Stock Units
  • Paid time off, paid holidays & leave of absence programs
  • Comprehensive health, dental & vision insurance
  • Employer contributions to HSA account
  • Paid parental leave
  • Paid life insurance, short-term and long-term disability
  • Professional development & tuition reimbursement
  • Mental health & wellness support
  • Commuter benefits (parking & transit)
  • Cell phone stipend
  • 401(k) Retirement plan with company match up to 4% of salary
  • Volunteer time off
  • Global travel insurance & emergency assistance
  • Daily meals allowance
  • Additional perks & programs specific to location


Compensation Range

Compensation will be paid in the range of up to $165,000 - $200,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant's knowledge, education, and abilities, as well as internal equity and alignment with market data.

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