Datacenter Cluster Manager (AI Infrastructure)

Location: United States, Alabama; onsite with regular travel between assigned cluster facilities

Company

hirify.global builds AI-optimized computing systems based on a large-scale AI chip architecture designed to deliver high-speed model training and inference.

What you will do

• Own operational health, service readiness, maintenance, and lifecycle management for compute clusters, server racks, network infrastructure, and physical systems across multiple sites.
• Lead hardware incident triage, diagnostics, break/fix work, FRU replacement, escalation, incident command, and post-incident corrective actions.
• Oversee fiber and copper connectivity troubleshooting, structured cabling, rack documentation, network escalation, and physical-layer remediation.
• Manage asset receiving, staging, inventory, deployment, repair, return, secure media handling, chain of custody, and equipment disposition.
• Lead technicians, engineers, and contractors, including staffing, shift coverage, on-call rotations, training, performance expectations, and vendor coordination.
• Coordinate new capacity deployments, rack integration, network and fiber validation, production acceptance, colocation activities, and power and cooling risk management.

Requirements

• 10+ years of experience in data center, compute infrastructure, server operations, or related technical operations, including 5+ years leading technical teams.
• Experience managing multi-site operations or complex data center environments with 24/7 production support expectations.
• Strong hands-on experience with server hardware, rack infrastructure, hardware diagnostics, break/fix operations, and systems health monitoring.
• Working knowledge of Ethernet, fiber optics, transceivers, structured cabling, network topology, and physical connectivity troubleshooting.
• Experience with asset management, data-bearing media security, chain of custody, controlled equipment movement, incident leadership, change control, vendor coordination, and deployment handovers.
• Availability for onsite critical incidents, scheduled maintenance, deployment activities, and work outside standard hours when needed.

Nice to have

• Experience supporting large compute clusters or high-density server environments.
• Exposure to direct liquid cooling, CDU operations, thermal telemetry, Linux troubleshooting, BMC/IPMI, server logs, and hardware telemetry.
• Experience with fiber inspection and testing tools, network test equipment, Grafana, Prometheus, PagerDuty, Jira, DCIM, or BMS platforms.
• Knowledge of customer security requirements, colocation operating models, SLAs, and compliance controls.

Culture & Benefits

• Work on an AI computing platform designed to go beyond traditional GPU constraints.
• Opportunity to contribute to AI research and work with high-performance AI supercomputing infrastructure.
• Startup vitality combined with job stability and a non-corporate work culture.
• Continuous learning, growth, and support in an inclusive and equal-opportunity environment.