Onsite Data Center Tech for AI Infra & HPC Deployments

Zohorecruit

Manassas (VA)

On-site

USD 60,000 - 90,000

Full time

14 days+
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Job summary

Zohorecruit in Manassas, VA, is seeking experienced Data Center Technicians to support large-scale AI infrastructure deployments in enterprise environments. This role requires hands-on data center experience and the ability to operate independently in fast-paced, high-performance environments.

Ideal candidates will have rack/stack and cabling expertise, strong hardware troubleshooting skills, and familiarity with GPU/HPC setups.

Qualifications

  • 2–8+ years of hands-on data center experience.
  • Strong experience with rack/stack and cabling.
  • Hardware troubleshooting experience in production environments.
  • Experience in enterprise data centers, colocation facilities, or cloud environments.
  • Ability to work onsite in physically demanding environments.
  • Linux fundamentals (basic CLI, system checks).
  • Exposure to networking (switches, patching, VLAN basics).
  • Experience with GPU servers or HPC environments.
  • Certifications (CompTIA A+, Network+, or similar).

Responsibilities

  • Perform rack and stack of servers, storage, and networking equipment
  • Install and manage structured cabling (fiber and copper)
  • Troubleshoot hardware issues (drives, memory, power supplies, network connectivity)
  • Support data center deployments, migrations, and upgrades
  • Work with engineering teams to diagnose and resolve infrastructure issues
  • Maintain accurate documentation and asset tracking
  • Follow operational procedures and safety standards

Skills

Data center troubleshooting
Rack and stack
Structured cabling
Linux fundamentals
Networking basics
Onsite work experience
GPU servers / HPC
Certifications (CompTIA A+/Network+)

Education

IT certifications (e.g., CompTIA A+/Network+)

Tools

Linux
Networking hardware
Structured cabling tools

Job description

Zohorecruit in Manassas, VA, is seeking experienced Data Center Technicians to support large-scale AI infrastructure deployments in enterprise environments. This role requires hands-on data center experience and the ability to operate independently in fast-paced, high-performance environments.

Ideal candidates will have rack/stack and cabling expertise, strong hardware troubleshooting skills, and familiarity with GPU/HPC setups.

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