Data Center Technician, Machine Learning Support

Minimum qualifications:

• Experience with hardware and operating systems (e.g. Linux), and networking protocols.
  
• Experience in a data center or critical facilities environment, installing, maintaining, and decommissioning servers, and executing projects (e.g., timelines, prioritization, roadmapping).
  
• Experience with network troubleshooting and diagnostics.
  

Preferred qualifications:

• Advanced degree in a related field.
  
• 3 years of experience within a data center environment.
  
• 2 years of experience with advanced troubleshooting and diagnosis of machine learning platforms, including advanced network troubleshooting.
  
• Experience working with and troubleshooting hardware/network related issues using Linux based tools.
  

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $81,000-$119,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 maintain Google's advanced data center server and network infrastructure.
• Act as a SME resource for ML deployments, providing feedback to local deployment/project teams.
• Create and maintain ML training, deployment, and support documentation.
• Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise, and apply 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, and handle in accordance with Google security standards.