Rapid Response Data Center Technician

Role Overview

The Rapid Response Team (RRT) Data Center Technician supports large‑scale, high‑velocity deployments in enterprise and hyperscale data center environments. This role focuses on Layer 1 networking, physical deployment, rack & stack execution, cabling quality control, and post‑deployment troubleshooting. RRT members work alongside internal teams and strategic partners to deploy and operationalize networking and compute infrastructure cess in this role requires strong physical endurance, disciplined execution, adaptability, and a team‑first mindset.

• Perform rack and stack activities following industry‑standard procedures, including RU measurement and rack layout planning.
• Install rack rails and guides.
• Sequentially install networking and compute equipment.
• Execute large‑scale physical deployments: unbox, palletize, stage, and move hardware; load and place equipment into racks.

• Support physical networking tasks related to deployment and troubleshooting.
• Perform cabling quality control: identify and correct poor cable routing, labeling, or dressing.
• Understand differences between fiber and copper cabling and recognize proper use of single‑mode versus multi‑mode fiber.
• Partner with third‑party vendors responsible for cabling while maintaining quality standards.

• Participate in the burn‑down process following deployments.
• Troubleshoot connectivity issues and validate links and physical network integrity.
• Perform ongoing break/fix and maintenance once equipment is in production, within defined scope.

• Work side by side with cross‑functional teams, including Tiger Teams and volunteer teams.
• Perform the same tasks as internal team members while maintaining consistent quality and pace.
• Follow strict procedures and standards and adjust quickly based on feedback.

• Operate in data centers and warehouse environments depending on project needs.
• Walk 5–6 miles per shift in large facilities.
• Frequently lift and move up to 50 pounds.
• Perform repetitive physical tasks throughout long shifts.

• Hands‑on experience in large‑scale data center environments.
• Demonstrated experience with rack & stack deployments, physical networking devices, cabling, and fiber optics fundamentals (single‑mode and multi‑mode).
• Strong understanding of Layer 1 networking concepts.
• Proven ability to troubleshoot physical connectivity issues.
• Experience working in physically demanding roles within data centers.
• Ability to adapt to multiple work environments (data centers, warehouses).

Note:

Depth and quality of experience matter more than years alone. Candidates must demonstrate real hands‑on capability, not just exposure.

• Contract position based out of Ellendale, ND.
• Pay range: $30.00–$50.00 per hour.
• Benefits may include medical, dental & vision; critical illness, accident and hospital; 401(k) retirement plan; life insurance; short and long‑term disability; health spending account; transportation benefits; employee assistance program; paid time off.

Ellendale, ND.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance:
For all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI):
We may use AI to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.