Job Description

Minimum qualifications: Bachelor\'s degree or equivalent practical experience. 2 years of experience with operating systems and networking protocols. Experience with LPIC or working with Linux (e.g., Red Hat, Slackware, Fedora, SUSE, Ubuntu, Debian, Gentoo), Unix (e.g., Solaris, AIX, HP-UX, BSD), or other similar OS. Experience with troubleshooting hardware or network issues using Linux tools. Preferred qualifications: Experience in maintenance and monitoring of server systems. Experience in working within a data center or networking operation center environment. Experience with networking protocols. 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 Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers. Responsibilities Contribute and lead efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure. Install servers, switches, routers, and other networking gear, and resolve issues with broken equipment. Configure and troubleshoot Linux OS related issues. Assist in deploying, repairing, and troubleshooting next generation ML platforms providing feedback to local deployment/project teams. Participate in complex troubleshooting and resolve critical technical issues. Test and troubleshoot new server and network hardware components and designs.

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