About This Role:Crusoe Cloud is seeking a Staff Network Production Operations Engineer to help own production reliability across our global network infrastructure, including edge, backbone, data center fabric, and GPU cluster interconnects. This is a hands-on production ownership role focused on incident response, root cause analysis, and operational excellence initiatives that keep our hyperscale AI infrastructure running at scale. Your work will directly affect the availability of AI workloads running across thousands of GPUs worldwide.
The ideal candidate is a seasoned network engineer with deep operational experience in large-scale environments who thrives in high-pressure situations and takes pride in keeping systems healthy. You'll contribute to defining SLIs and SLOs, improving observability tooling, building automation to reduce toil, and mentoring peers - all while serving as a key escalation point during high-severity network events.
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.
- Operational Automation: Build and maintain Python-based tooling to reduce toil, automate common remediation workflows, and accelerate mean time to resolution across the operations org.
- Automate Incident Response: Develop scripts and tooling that speed up detection, triage, and mitigation during high-severity network events, and contribute directly to the response itself, including stakeholder communication and postmortem documentation.
- Automate Root Cause Analysis: Build tooling to surface systemic issues faster during RCAs, and drive remediation plans tracked through to closure.
- Observability Automation: Write automation on top of Crusoe's monitoring stack (streaming telemetry, SNMP, NetFlow, Kentik, Grafana, Prometheus, ThousandEyes) to reduce manual triage and surface actionable signal faster.
- Operational Standards: Author and maintain runbooks, escalation playbooks, and SOPs, with an eye toward what can be scripted or automated rather than performed manually.
- SLI/SLO Contribution: Partner with Architecture and SRE teams to define and track network reliability metrics, and build the automated dashboards and alerting that back them.
- Mentorship: Provide technical guidance to Senior engineers, particularly around automation practices and reducing operational toil, and contribute to a culture of operational excellence.
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.
- Strong Python and scripting proficiency: comfortable writing diagnostic tooling, auto-remediation scripts, and automation pipelines from scratch, not just modifying existing scripts.
- Hands-on experience with observability and monitoring tools including streaming telemetry, SNMP, NetFlow/sFlow, Grafana, Prometheus, and ThousandEyes, and the ability to script against their APIs.
- 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.
- 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
Compensation RangeCompensation will be paid in the range of up to $215,000 - $260,000 + 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.
