AI Infrastructure Operations Engineer - Compute & Storage

About Highrise AI Highrise AI is a GPU-native infrastructure platform built for modern AI workloads. Designed for developers and enterprises operating in performance-critical and security-sensitive environments, Highrise delivers scalable GPU compute across dedicated clusters, managed cloud, and confidential environments. Highrise combines bare-metal performance with full-stack orchestration, API-driven access, and hardware-enforced isolation to support training, fine-tuning, and production-scale deployment of AI models. From reserved GPU capacity to enterprise-grade confidential compute, Highrise provides flexible infrastructure models tailored to the needs of builders operating at scale. Beyond infrastructure, Highrise integrates disciplined operations, advanced automation, and on-site engineering expertise to sustain high uptime and predictable performance across deployments. These capabilities extend beyond Highrise-owned fleets: through managed services, Highrise also operates third-party GPU hardware on behalf of customers and partners, applying the same operational standards to infrastructure it does not own. Highrise is a subsidiary of Hut 8 Corp., an energy infrastructure platform. Hut 8 integrates power, digital infrastructure, and compute at scale. Highrise serves as the compute and operations layer—designing, deploying, and operating next-generation GPU clusters from commissioning through production. ROLE OVERVIEW We are seeking a mid-level AI Infrastructure Operations Engineer to provide Tier 2 operational support for large-scale GPU compute and storage platforms. This hands-on role focuses on owning technical tickets, restoring service, investigating recurring issues, and maintaining reliable day-to-day operation of production AI clusters. Working closely with the NOC, on-site data hall technicians, SRE teams, and senior infrastructure engineers, the engineer will troubleshoot Linux-based compute nodes, GPU systems, storage services, and their supporting software. Complex or systemic issues will be escalated to Tier 3 engineering with clear diagnostics and supporting evidence. KEY RESPONSIBILITIES Tier 2 Incident and Ticket Management • Own and manage escalated incidents, service requests, and problem tickets from initial technical triage through resolution, escalation, or documented handoff. • Diagnose compute and storage faults using system logs, monitoring dashboards, management interfaces, and approved diagnostic tools. • Assess severity and customer impact; coordinate with the NOC and site teams to restore service within operational and SLA targets. • Produce clear troubleshooting records, timely ticket updates, shift handovers, and actionable Tier 3 or OEM escalations. Compute and GPU Platform Operations • Troubleshoot Linux servers, GPU health alerts, boot failures, firmware/driver issues, hardware faults, and resource availability problems. • Support node provisioning, reimaging, configuration changes, routine maintenance, and return-to-service validation using established automation and runbooks. • Investigate Kubernetes and Slurm node or workload failures, working with platform engineers when application or scheduler-level escalation is required. • Perform first-level analysis of connectivity or GPU communication symptoms and engage network or Tier 3 engineers for deeper fabric and performance investigation. Storage Operations and Troubleshooting • Monitor and troubleshoot distributed and high-performance storage systems, including capacity, throughput, availability, and client connectivity. • Investigate filesystem mount failures, storage-node or disk alerts, degraded services, and access or performance complaints. • Execute approved recovery, maintenance, and component replacement wo