Data Center Technician

About Denver

Denver's data center market is growing rapidly, supported by competitive power costs and favorable climate for cooling. The city attracts enterprises seeking GPU computing resources for AI and analytics applications.

Introl stands apart as a leader in GPU infrastructure deployments, specializing in large-scale GPU cluster deployments having deployed 100,000+ of the most advanced GPUs available. When failure is not an option, Introl delivers. We set the benchmark for excellence with our top‑tier solutions in high‑performance computing deployments, supporting the advancement of AI computing with precision, speed, and minimal downtime.

Our network of 1,000+ field engineers operates globally, tackling the most complex deployments in hyperscale data centers and advanced AI research facilities. We’re looking for exceptional talent who thrive in high‑pressure, high‑reward environments.

Introl is seeking experienced Data Center Technicians to join our team as hourly, project‑based W‑2 employees supporting GPU infrastructure deployment projects across the U.S. This role is ideal for individuals who enjoy hands‑on technical work in fast‑paced environments and are looking to contribute to high‑impact, mission‑critical deployments. As a W‑2 hourly employee, you will work under the direction of Introl project leadership and collaborate closely with cross‑functional teams to execute data center builds, upgrades, and migrations.

Assignments are project‑based and may vary in duration, location, and scope depending on business needs. This is an hourly position with compensation based on experience, project complexity, and location, with opportunities for continued project assignments based on performance and business demand.

GPU Infrastructure & Hardware Management:

• Deploy, configure, and maintain large‑scale GPU clusters and high‑performance computing systems
• Install, troubleshoot, and repair GPU servers, networking equipment, and associated hardware
• Perform hardware diagnostics and coordinate large‑scale fiber optic connectivity
• Execute precise hardware migrations and rack installations

Data Center Operations:

• Monitor and maintain data center infrastructure including power, cooling, and environmental systems
• Perform routine maintenance on servers, storage systems, and networking equipment
• Execute data center migrations ranging from single racks to full facility relocations
• Support optimal performance and availability of deployed systems

Technical Support & Troubleshooting:

• Diagnose and resolve complex hardware and network connectivity issues
• Perform system upgrades, patches, and configuration changes
• Document all work performed in accordance with company and industry standards

Quality Assurance & Safety:

• Adhere to applicable laws, rules, and regulations (e.g., OSHA, NEC)
• Conduct quality control checks on all installations and deployments
• Maintain clean room standards and proper electrostatic discharge procedures

Technical

Skills:

• 2+ years of experience in data center operations or hardware deployment
• Strong knowledge of server hardware, networking equipment, and data center infrastructure
• Experience with GPU systems, high‑performance computing, or AI infrastructure preferred
• Proficiency with fiber optic installations and network cabling
• Understanding of power distribution, cooling systems, and environmental monitoring

Core Competencies:

• Ability to work in fast‑paced, high‑pressure environments
• Strong problem‑solving skills and attention to detail
• Excellent communication and documentation abilities
• Physical ability to lift up to 50 lbs and work in confined spaces
• Availability during nights, weekends, or non‑standard hours as needed
• Legal authorization to work in the U.S. without sponsorship

Certifications (Preferred):

• CompTIA Server+ or equivalent hardware certification
• Data center or network infrastructure certifications

Fiber optic installation certification:

• Vendor‑specific certifications (NVIDIA, AMD, Intel)

This is a W‑2 hourly, project‑based position. Employees are scheduled and assigned to specific projects based on…