Hyperscale Datacenter Technician

Sira Consulting, an Inc 5000 company; Spring (TX); On-site; USD 52,000 - 92,000; Full time

Job summary

Sira Consulting is expanding its Datacenter Operations team in Spring, TX, seeking an onsite Datacenter Technician to deploy and operate hyperscale hardware across sites. You will own the end-to-end lifecycle of server and networking equipment, ensuring scalable, reliable infrastructure for AI workloads.

You will install and rack hardware, manage cabling, perform tray swaps, respond to incidents, and document changes while meeting tight SLA requirements.

Qualifications

• Hands-on server and networking hardware experience.
• Cable management and labeling skills.
• Ability to reseat and swap components per procedures.
• Respond to incidents with SLA focus.

Responsibilities

• Install, rack, and deploy server and networking hardware in datacenter environments.
• Perform cable management tasks including reseating, labeling, and replacing network, power, and fiber/copper cabling.
• Execute server tray swaps and hardware replacements following established operational procedures.
• Respond to incidents and support onsite troubleshooting while maintaining aggressive SLA requirements.
• Document maintenance activities, hardware changes, and inventory updates accurately in tracking systems.
• Conduct visual inspections and basic diagnostics to identify potential hardware or connectivity issues.
• Work within rotating shifts or hold on-call responsibilities to support 24/7 operations.
• Maintain positive and collaborative working relationships with customers, vendors, partner teams, and internal stakeholders.

Skills

Server hardware

Rack & stack

Cable management

On-site troubleshooting

SLA adherence

Team collaboration

Job description

Sira Consulting is expanding its Datacenter Operations team in Spring, TX, seeking an onsite Datacenter Technician to deploy and operate hyperscale hardware across sites. You will own the end-to-end lifecycle of server and networking equipment, ensuring scalable, reliable infrastructure for AI workloads.

You will install and rack hardware, manage cabling, perform tray swaps, respond to incidents, and document changes while meeting tight SLA requirements.