Data Center Operations Manager, Server Operations, Hardware Operations
GoogleBridgeport, Alabama
Full-timerotating
Salary
$115k–$166k/ annually
Free account to apply · application completed on Google
Salary
$115k–$166k/ annually
Free account to apply · application completed on Google
MINIMUM QUALIFICATIONS:
* Bachelor's degree in a technical field, or equivalent practical experience.
* 4 years of experience in computing infrastructure, networking, operating
systems, or hardware.
* 2 years of experience managing technical teams, vendor or contract management
and delivery.
* Ability to work non-standard hours, including working weekends, night shifts,
holidays and on shift-based schedules as required.
PREFERRED QUALIFICATIONS:
* Experience managing technical teams, vendor or contract management and
service delivery.
* Experience working in data center environments, including building and
operating large-scale infrastructure, and network and compute architecture
and lifecycle, and Linux/Unix system administration.
* Experience with initiating and executing strategic initiatives in a global
environment.
* Experience with data gathering, analysis and presentation skills.
* Track record of leading and improving Environmental Health and Safety
initiatives.
* Ability to work non-standard hours, including working weekends, night shifts,
holidays and on shift-based schedules as required.
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 a Hardware Operations Manager, you will
manage a team of Data Center Technicians. You will oversee the quality
installation of server hardware and components and take charge of complicated
installations/troubleshooting.
Your team will install, configure, test, troubleshoot and maintain hardware
(like servers and its components) and server software (like Google's Linux
cluster). They will also take on the configuration of more complex components
such as networks, routers, hubs, bridges, switches and networking protocols.
They may lead small project teams on larger installations and develop project
contingency plans.
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: $115000 - $166000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Lead a team of individuals, communicate individual and team priorities that
support organizational goals to repair, fix, and perform preventative
maintenance on equipment, servers, machines, or infrastructure based on
issues.
* Partner with teams to meet goals and stakeholders to manage facility
activities and set/implement strategies.
* Maintain, monitor, and execute security and operational procedures and
analyze trends to identify opportunities for improvements ensuring alignment
with organizational policies.
* Support and contribute to the implementation of Environmental Health and
Safety (EHS) and other compliance programs and initiatives in collaboration
with other teams to ensure environmental and safety incidents are
investigated, resolved, and reported.
* Manage a team of Machine Learning (ML) travelers remotely and contribute and
support 24/7 initiatives.
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