Data Center Technician III

Minimum qualifications:

• Experience with assembly of mechanical or electrical systems, or performing component-level repairs and troubleshooting on technical equipment.
• Experience with diagnosing and troubleshooting operating systems, computer hardware and server hardware.
• Experience with 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.

Preferred qualifications:

• Bachelor's degree or equivalent practical experience.
• 4 years of experience in maintenance and monitoring of server systems.
• 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.).
• Experience working within a data center or network operation center environment.
• Experience with Linux operating systems.
• Experience in project management and leadership, and collaborating and partnering with teams.

About the job

The Hardware Operations team is responsible for monitoring, maintaining and deploying the state-of-the-art physical infrastructure behind Google's powerful search technology. As a Data Center Technician, you'll deploy and maintain Google's advanced Data Center Server and Network Infrastructure. You'll also participate in or lead local project teams on larger installations and develop project contingency plans.

In this role, duties range from the physical deployment of data center-related technology to working closely with the various stakeholders. It will fall to you to ensure that our goals, missions and projects are successfully delivered, and, more importantly, that they are repeatable across our global array of data centers. This position offers a great introduction to the wider engineering world at Google. Depending of your area of interest, capabilities, and geographical mobility, you will have the opportunity to develop either within Hardware Operations or move towards software development, engineering, networking operations or our project management groups.

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 team 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 $95,000-$134,000 + bonus + equity + 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.

Responsibilities

• Deploy and operate new data center infrastructure across teams.
• Report issues and follow data center procedures to troubleshoot and diagnose somewhat complex issues with equipment or infrastructure as they arise, and applying the resources needed to resolve identified issues.
• Maintain the security and integrity of data, track various forms of media to check for non-standard data security issues (e.g., data was not properly erased) handled in accordance with Google security standards.
• Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, within one or more teams.
• Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues with multiple solutions, separately.