Data Center Technician — AI Infra & Server Ops

Frontdoor Defense; Santa Clara (CA); On-site; USD 50,000 - 60,000; Full time

Job summary

SambaNova Systems in Santa Clara is seeking an entry-level Data Center Operations Technician to join our fast-paced data center team. You will apply hands-on hardware skills to install, maintain, and troubleshoot servers and networking equipment.

This contract role offers varied shifts, on-site work, and opportunities to contribute to capacity expansion and process improvements while supporting our core compute resources.

Qualifications

• 0–1+ years in data center or similar environment.
• High School Diploma; Associates degree preferred.
• On-site Santa Clara, CA; ability to lift up to 50 lbs.

Responsibilities

• Unpack servers and rack and stack equipment.
• Install and replace system components.
• Read elevation plans and implement exact installations.
• Maintain neat racks and cables.
• Install and maintain networking technologies.
• Troubleshoot with subject matter experts.
• Package servers for shipment and manage packing materials.
• Coordinate shipping/receiving of assembled servers.
• Close tickets to meet tight SLAs and respond promptly.
• Assist with data center projects and retrofits.
• Document data center knowledge base.
• Support process improvements in operations.
• Participate in on-call rotation in Santa Clara or other sites.
• Other duties as assigned.

Skills

Communication skills

Organizational skills

Fast-paced environment

Independent & team work

Education

High School Diploma

Associates Degree preferred

Tools

Networking equipment

Linux OS troubleshooting

Job description

SambaNova Systems in Santa Clara is seeking an entry-level Data Center Operations Technician to join our fast-paced data center team. You will apply hands-on hardware skills to install, maintain, and troubleshoot servers and networking equipment.

This contract role offers varied shifts, on-site work, and opportunities to contribute to capacity expansion and process improvements while supporting our core compute resources.