Network Operations Engineer, AI Networking

Job summary

Responsibilities

We are seeking an Infrastructure Operations Engineer to operate and improve the large-scale Ethernet fabrics that support GPU clusters, storage systems, and management infrastructure.

• Own the operational health, availability, and reliability of production AI network infrastructure across Industrial Compute's data centers.
• Monitor, troubleshoot, and resolve network incidents while meeting service-level objectives (SLOs), reducing Mean Time to Detect (MTTD), and minimizing Mean Time to Recovery…
• Operate and maintain large-scale Ethernet fabrics supporting GPU compute, storage, and management networks.
• Execute production network changes, maintenance windows, and capacity expansions with minimal customer impact.
• Manage the hardware lifecycle, including switch and optics replacements, RMA coordination, software upgrades, and preventive maintenance.

What they're looking for

• Bachelor’s degree in Computer Science, Network Engineering, or a related discipline, or equivalent practical experience.
• 5+ years of experience operating large-scale data center, cloud, AI, or HPC network infrastructure.
• Experience supporting production network environments with high-availability requirements.
• Hands-on experience with one or more of the following platforms: 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.

Tech stack

• Python
• AWS
• Azure
• GCP
• Terraform