Network Operations Engineer, AI Networking

Highlights

• Operate large-scale Ethernet fabrics powering GPU training and inference workloads.
• Own availability and reliability for one of the world's largest AI networks.
• Reduce MTTD and MTTR while improving observability and operational excellence.

What they offer

• equity

Ideal candidate

Hands-on network operator who thrives in high-availability production environments and moves from physical troubleshooting to root-cause analysis. You care about reliability, automation, and reducing toil across global AI infrastructure.

Requirements

• Bachelor's degree in Computer Science, Network Engineering, or related discipline, or equivalent practical experience
• 5+ years operating large-scale data center, cloud, AI, or HPC network infrastructure
• Experience supporting production network environments with high-availability requirements
• Hands-on experience with Cisco NX-OS, Arista EOS, NVIDIA Spectrum / Cumulus Linux, or Juniper JunOS
• Strong knowledge of Layer 2 and Layer 3 networking, BGP, OSPF, ECMP, MLAG, LACP, VRFs, and VLANs
• Experience troubleshooting fiber optics, transceivers, DAC/AOC cables, and high-speed Ethernet links
• Experience performing software upgrades, hardware maintenance, and production change management
• Excellent analytical and troubleshooting skills with clear technical communication