Data Center Technician, Machine Learning Support
Minimum qualifications:
+ 3 years of experience in a Data Center environment.
+ 1 year of experience with the deployment and support of Google’s machine learning platforms.
+ Experience working with Linux, Unix or another similar OS, such as Windows.
Preferred qualifications:
+ 2 years of advanced troubleshooting and diagnosis of machine learning platforms to include advanced network troubleshooting.
+ Experience working with and troubleshooting hardware/network related issues using Linux based tools.
+ Understanding program management methodologies and concepts.
+ Ability to work with cross-functional teams of all levels.
+ Strong documentation and process improvement skills and the ability to assist in developing project contingency plans.
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 $77,000-$110,000 + 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 for new hire 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 (https://careers.google.com/benefits/) .
+ Be responsible for the physical deployment of data center related technology and work closely with various stakeholders associated with the deployment and support of machine learning platforms.
+ Create and maintain machine learning training, and support documentation.
+ Report issues and follow procedures to troubleshoot, diagnose, and apply resources to resolve 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.
+ Ability to travel out of state 2-3 weeks at a time to ensure the necessary technical resources are available to meet all platform deployment milestones.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.