Sr Ethernet AI Network Engineer

Description: Deploy, validate, and support Ethernet fabrics for AI and HPC cluster environments. Troubleshoot L1 through L4 issues including optics, transceivers, cabling, VLANs, and routing. Validate network readiness for distributed training and large east-west traffic patterns. Diagnose performance issues related to buffer pressure, QoS, and routing instability. Collaborate with Linux, storage, and cluster teams to isolate fault domains. Review and execute change plans for switch provisioning and maintenance. Capture evidence for root cause analysis and build operational standards. Requirements: 7+ years in large-scale data center networking with high-bandwidth Ethernet fabrics. Strong experience with spine-leaf design, routing, switching, and troubleshooting. Hands-on skills with BGP, EVPN/VXLAN, MLAG, and QoS. Experience validating optics and cable plant integrity. Proven ability to troubleshoot network behavior impacting distributed applications. Proficient with switch CLI, automation tools, and packet analysis workflows. Strong documentation skills for topology and incident management. Benefits: Opportunity to grow and create real impact from day one. Work in a collaborative environment that values ambition and ideas.