Data Center Technician II: Hardware & Network Ops

Google Inc.; Amarillo (TX); On-site; USD 105,000 - 145,000; Full time

Job summary

Google Inc. is seeking an Operations Technician to install, configure, test, troubleshoot and maintain hardware and server software in our Amarillo data center.

You will lead small project efforts, configure networks, routers, and switches, and handle rack installations in a fast-paced infrastructure environment. The role emphasizes hands-on maintenance, collaboration with teams, and adherence to security standards, with the AI and Infrastructure team enabling high-scale computing across

Qualifications

• Experience with component-level repairs and troubleshooting IT equipment.
• Experience diagnosing and troubleshooting operating systems, computer hardware and server hardware.
• Experience with networking protocols.
• Willingness to travel to support business priorities as needed.
• Ability to work non-standard hours, including weekends and night shifts.

Responsibilities

• Deploy and operate new data center infrastructure across teams.
• Report issues and follow data center procedures to troubleshoot complex equipment or infrastructure.
• Maintain data security and integrity in accordance with Google standards.
• Disassemble equipment reaching end-of-life for part replacement.
• Repair and perform preventive maintenance on servers and network infrastructure.

Skills

Component-level repair

OS & hardware troubleshooting

Networking protocols

Travel readiness

Non-standard hours

Education

Bachelor's degree or equivalent

Tools

Linux

Job description

Google Inc. is seeking an Operations Technician to install, configure, test, troubleshoot and maintain hardware and server software in our Amarillo data center.

You will lead small project efforts, configure networks, routers, and switches, and handle rack installations in a fast-paced infrastructure environment. The role emphasizes hands-on maintenance, collaboration with teams, and adherence to security standards, with the AI and Infrastructure team enabling high-scale computing across