
Data Center Technician, Server Operations (2nd Shift)
Salary
$86k–$118k/ annually
Free account to apply · application completed on Google

Salary
$86k–$118k/ annually
Free account to apply · application completed on Google
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 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 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 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.
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.

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