Data Center Technician - AI Infrastructure

Ready to take the next step in your career?

Join a large-scale data center supporting next-generation AI and GPU-driven workloads within a fast-growing, high-performance environment. The facility focuses on advanced infrastructure and high-density compute systems powering modern AI operations.

An exciting opportunity has opened for a Data Center Technician to support and maintain critical infrastructure within a highly technical, fast-paced environment. The role involves working closely with high-density GPU deployments and advanced data center systems while gaining hands-on experience across cutting-edge AI infrastructure. This position offers strong technical development, exposure to large-scale operations, and clear opportunities for long-term career growth.

If you would like to learn more about this opportunity, feel free to reach out and apply today!

Responsibilities:

• Install and maintain server, GPU, and network hardware, including racking, stacking, and cabling
• Manage equipment moves, site changes, and decommissioning activities
• Troubleshoot and resolve hardware and connectivity issues across critical systems
• Replace faulty components such as drives, RAM, power supplies, and GPUs
• Monitor system configuration, performance, and environmental conditions including cooling, power, and security
• Maintain structured, well-documented cable infrastructure
• Respond to and manage incident tickets within defined SLAs

Skills/Must Have:

• Proven experience in data center operations or similar environments, with a minimum of 2 years in AI data center environments
• Solid knowledge of server hardware, networking, and infrastructure systems
• Confident in hardware troubleshooting and component-level repairs
• Comfortable working with ticketing systems and structured operational processes
• Physically able to handle heavy equipment
• Strong communication skills and a collaborative approach to teamwork

Location:

• South Carolina (Onsite)

Benefits:

• Exposure to cutting-edge GPU infrastructure and large-scale AI deployments
• Funded training and certifications to support professional development
• Clear path to technical leadership and career growth
• Stable full-time schedule: Monday–Friday, 9–5 (40 hours/week) with occasional on-call duties
• Healthcare benefits

Salary:

• $70,000 – $85,000 per year