Data Center Technician

MINIMUM QUALIFICATIONS:

* Experience with performing component-level repairs and troubleshooting on

technical equipment.

* 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.

PREFERRED QUALIFICATIONS:

* 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 and computer/server hardware or networking protocols.

* 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.

* Ability to collaborate and partner with teams to overcome challenges, and to

adapt to changes in a dynamic work environment.

ABOUT THE JOB:

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, and

while it can sometimes be physically demanding, you are 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 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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $86000 - $118000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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 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 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, in a team setting.

* Repair, fix, and perform preventative maintenance on equipment, servers,

machines, or infrastructure based on identified issues with defined solutions

and limited guidance.