NOC Engineer, Supervisor - Highrise AI

Role overview

Oversee frontline network operations for large-scale AI compute infrastructure, helping keep compute, storage, and network services available around the clock. The work combines incident leadership, customer escalation support, and operational improvements across infrastructure deployed at multiple sites.

Responsibilities

- Monitor NOC workflows and ensure critical service issues receive timely attention. - Coordinate response to impacts on compute, storage, and network resources in line with service commitments. - Lead incident management, respond to customer escalations, and drive actions that prevent repeat disruptions. - Develop and maintain operational standards, documentation, and troubleshooting runbooks. - Improve observability and automate recurring work in the assigned technical area. - Work with customers and internal product and platform teams to improve reliability and service fit.

Requirements

- At least five years supporting customers who use large-scale compute infrastructure in 24/7 environments. - At least five years of hands-on network and systems operations experience in large compute environments. - Working knowledge of networking concepts such as VLANs, VXLAN, OSPF, BGP, software-defined networking, routing, switching, and load balancing. - Strong analytical, prioritization, and problem-solving skills, including the ability to work under pressure. - Clear written and verbal communication, customer focus, and ability to collaborate with limited supervision. - A relevant college or university qualification, or equivalent practical experience.

Nice to have

- Experience supporting OpenStack or a comparable private cloud platform. - A continuous improvement mindset, with an interest in reducing operational toil through automation.

Benefits and work setup

This is a full-time role supporting infrastructure across multiple sites. The position may be hybrid or remote depending on location, with travel to data centers for commissioning, acceptance, and complex troubleshooting. Participation in a shared on-call rotation and occasional work outside regular hours are expected. The role offers the opportunity to influence the reliability and readiness of large AI clusters and help shape operating standards.