Server Operations Manager, Data Center

Minimum qualifications:

• Bachelor's degree in a technical field or equivalent practical experience.
  
• 5 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 working in data center environments, including building and operating infrastructure, network and compute architecture, life cycle, and Linux/Unix system administration.
• Experience initiating and executing strategic initiatives in a global environment.
• Ability to lead and improve Environmental Health and Safety initiatives.

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.

In this role, you will lead one or more teams to deliver critical data center initiative, identify trends via data analytics at the project level, and drive the changes needed to address them. You will be the point of contact for escalation for one or more data center sites, quantifying systemic issues and escalating when appropriate. You will work with the partners to provide input into short-term and long-term strategy, process changes, and task orders for the site. You will manage projects to budget, timeline, and resourcing needs.

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 $105,000-$151,000 + 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

• Oversee the day-to-day management of teams within data center technical hardware operations.
  
• Communicate priorities team-wide, and facilitate hand-off of operations to following shift leads.
  
• Work together to identify and resolve problems and create solutions for the global computing and network architecture.
  
• Manage the implementation of projects within the team and ensure data center-related priorities are consistent with company objectives.