Onsite Data Center Technician II: Hardware & Networking

Google LLC; Midlothian (TX); On-site; USD 86,000 - 118,000; Full time

Job summary

Google isn't just a software company. The Hardware Operations team maintains Google's world-class physical infrastructure. As an Operations Technician, you will install, configure, test, troubleshoot and maintain hardware and server software, including networking components.

You’ll lead small project teams on larger installations and develop contingency plans. This role is onsite in Midlothian, TX. The AI and Infrastructure team delivers AI at scale and reliability.

Qualifications

• Experience diagnosing and troubleshooting operating systems, computer/server hardware, or networking protocols.
• Ability to lift/move 50 lb (23 kg) of equipment and perform physical tasks.
• Willingness to work non-standard hours, weekends, nights, holidays, and shift-based schedules.

Responsibilities

• Deploy and operate new data center infrastructure across projects or functions.
• Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment.
• Maintain the security and integrity of data in accordance with Google security standards.
• Disassemble equipment at end-of-life for part replacement or maintenance in a team setting.
• Repair and perform preventative maintenance on equipment and infrastructure.

Skills

Troubleshooting hardware

OS troubleshooting

Non-standard hours availability

Travel willingness

Education

Bachelor's degree or equivalent

Google IT Support Professional Certificate

Job description

Google isn't just a software company. The Hardware Operations team maintains Google's world-class physical infrastructure. As an Operations Technician, you will install, configure, test, troubleshoot and maintain hardware and server software, including networking components.

You’ll lead small project teams on larger installations and develop contingency plans. This role is onsite in Midlothian, TX. The AI and Infrastructure team delivers AI at scale and reliability.