Staff Network Engineer, Operations

What You'll Be Working On

Production Reliability

• Help own uptime across Crusoe's global edge, backbone, data center, and GPU cluster network, directly supporting AI workloads at scale.

Incident Response

• Lead and contribute to end-to-end response for high-severity network events, including mitigation, stakeholder communication, and postmortem documentation.

Root Cause Analysis

• Drive RCAs for production incidents, identify systemic issues, and author remediation plans tracked through to closure.

Observability Improvements

• Contribute to and improve Crusoe's network monitoring stack using streaming telemetry, SNMP, NetFlow, and tools such as Kentik, Grafana, Prometheus, and ThousandEyes.

Operational Standards

• Author and maintain runbooks, escalation playbooks, and SOPs used across the operations team.

Operational Automation

• Write Python-based tooling to reduce toil, automate common remediation workflows, and accelerate mean time to resolution.

SLI/SLO Contribution

• Partner with Architecture and SRE teams to define and track network reliability metrics and service level objectives backed by real-time dashboards.

Mentorship

• Provide technical guidance to Senior engineers and contribute to a culture of operational excellence and continuous learning.

What You'll Bring to the Team

• 8+ years of production network engineering experience with a focus on operations, incident response, and reliability in large-scale or internet-scale environments.
• Hands-on experience with observability and monitoring tools including streaming telemetry, SNMP, NetFlow/sFlow, Grafana, Prometheus, and ThousandEyes.
• Experience operating RDMA/RoCE lossless fabrics for GPU or HPC workloads, including familiarity with PFC, ECN, and DCQCN tuning.
• Expert hands-on knowledge of BGP, EVPN-VXLAN, IS-IS, OSPF, MPLS, QoS, and TCP/IP in production data center environments.
• Proficiency with Arista (EOS) and Juniper (Junos) platforms in leaf-spine CLOS architectures across multi-vendor environments.
• Python proficiency for writing auto-remediation scripts, diagnostic tooling, and operational automation.
• Comfort operating large device fleets across multi-region environments with on-call responsibility, including experience as an escalation point during critical events.
• Bachelor's degree in Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.

Bonus Points

• Experience with NVIDIA/Mellanox networking platforms in GPU cluster environments.
• Familiarity with Kentik or Arbor for traffic analysis and DDoS visibility.
• Experience defining or contributing to SLIs and SLOs in partnership with SRE or product teams.
• Exposure to operating 10K+ device fleets across hyperscale or cloud environments.
• Background contributing to post-incident learning programs or operational excellence initiatives org-wide.

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