Data Center Technician, Hardware Operations; All Shifts

Data Center Technician, Hardware Operations (All Shifts)

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This role is not eligible for U.S. immigration sponsorship.

• Experience with Linux system administration.
• Experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.
• Ability to lift/move 50lb (23kg) of equipment and ability to exert yourself physically over extended periods of time, including frequent bending, kneeling, climbing, pushing/pulling and lifting.
• Must have the ability to work non-standard hours, including working weekends, night shifts, holidays, and on shift-based schedules as required.

• Bachelor's degree or equivalent practical experience.
• Completion of the online Google IT Support Professional Certificate program.
• 2 years of experience diagnosing and troubleshooting one of the following: operating systems, computer/server hardware, or networking protocols.
• Experience working within a data center or network operation center environment.
• Experience with performing component-level repairs and troubleshooting on IT equipment or in a similar role (e.g., Systems Administration, Network Deployment Engineer, Help Desk Technician, etc.).
• Ability to collaborate and partner with teams to overcome issues, and to adapt to changes in a dynamic work environment.

Google isn’t just a software company. The Hardware Operations team is responsible for monitoring the state‑of‑the‑art physical infrastructure behind Google’s powerful search technology. As an Operations Technician, you’ll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google’s Linux cluster). You’ll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols.

You’ll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks; while it can sometimes be physically demanding, you’ll be excited to work with infrastructure that is at the cutting edge of computer technology.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability, and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We’re the driving force behind Google’s groundbreaking innovations, empowering the development of our cutting‑edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

From software to hardware our teams are shaping the future of world‑leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full‑time position is $73,500–$103,000 plus bonus, equity and benefits. Our salary ranges are determined by role, level and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity or benefits. Learn more about benefits at Google.

• 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 or infrastructure as they arise, and apply the resources needed to resolve identified issues.
• Maintain the security and integrity of data, track various forms of media to check for…