IC Net Engineer, Deployment

• Own the on-site build-out of modern leaf–spine networks that power large-scale AI clusters across multiple U.S. data-center locations. 
• Serve as the field authority who bridges Network Engineering, Data-Center Ops, and structured-cabling partners to bring greenfield sites on-line, on-budget, and on-time. 
• Drive continuous improvement of deployment playbooks so each new pod turns up faster and cleaner than the last. 

• →Install, configure, and activate next-generation switching fabrics for AI workloads across greenfield and expansion sites. 
• →Audit fiber paths, interpret OTDR traces, and coordinate remediation so every link meets strict loss budgets. 
• →Track racks, optics, and line cards from purchase order through production, managing RMAs and maintaining up-to-date DCIM records. 
• →Coordinate change windows, cutovers, and validation with cross-functional teams, escalating blockers decisively. 
• →Capture lessons learned, refine runbooks, and mentor junior technicians in best-in-class deployment practices. 
• →Provide tier-2 operational support during and after cutovers until a stable hand-off to NOC/Operations is complete. 

• 3–7 years of hands-on data-center networking experience (EVPN/VXLAN, BGP, CLOS topologies). 
• Proficiency in CLI-based configuration and validation on Arista, Juniper, NVIDIA, or comparable platforms. 
• Demonstrated troubleshooting across physical and logical layers, including fiber inspection, power-budget analysis, and protocol debugging. 
• Clear communicator who can orchestrate multi-team initiatives and document outcomes for future scale-up. 
• Willingness to travel ~70 percent to U.S. data-centers; ability to manage remote work effectively between trips. 

• Familiarity with AI/ML or HPC fabrics using RoCEv2, PFC, or ECN. 
• Scripting or automation exposure (Python, Ansible, or equivalent). 
• Experience with DCIM, asset-management, or inventory-tracking tools. 

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