Global Data Center Technician, Hardware & Server Ops

Google Inc.; Stillwater (OK); On-site; USD 86,000 - 118,000; Full time

Job summary

Google is seeking a Data Center Technician in Stillwater, OK to install, configure, test, troubleshoot and maintain hardware and server software for Google's infrastructure. The role involves moving equipment, working on networks and routers, and leading small project teams on installations.

It requires willingness to work non-standard hours and travel as needed. The role sits within the Hardware Operations team, supporting AI and infrastructure at scale.

Qualifications

• Experience diagnosing and troubleshooting OS, server hardware, or networking protocols.
• Ability to lift/move 50 lb (23 kg) and work physically demanding shifts.
• Willingness to work non-standard hours, including weekends, nights and holidays.
• Willingness to travel to support business priorities as required.

Responsibilities

• Deploy and operate new data center infrastructure across projects or functions.
• Diagnose and troubleshoot straightforward issues with equipment or infrastructure and apply resources to resolve.
• Maintain data security and integrity per Google security standards.
• Disassemble end-of-life equipment with team support for part replacement or maintenance.
• Repair and perform preventative maintenance on equipment, servers, or infrastructure as needed.

Skills

Hardware troubleshooting

OS troubleshooting

Server hardware

Networking protocols

Shift work

Physical stamina

Travel availability

Education

Bachelor's degree

Google IT Support Professional Certificate

Tools

None identified

Job description

Google is seeking a Data Center Technician in Stillwater, OK to install, configure, test, troubleshoot and maintain hardware and server software for Google's infrastructure. The role involves moving equipment, working on networks and routers, and leading small project teams on installations.

It requires willingness to work non-standard hours and travel as needed. The role sits within the Hardware Operations team, supporting AI and infrastructure at scale.