Data Center Technician, Machine Learning Support

$66,500 - $100,000/Yr

Google - New Albany, OH

Full-time - Entry Level

New Albany, OH

5,001-10,000 employees

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About the position

The Data Center Technician, Machine Learning Support role at Google involves managing and maintaining the physical infrastructure that supports Google's technology. This position requires hands-on work with hardware and server software, including installation, configuration, and troubleshooting of various components. The technician will work in a dynamic environment, often requiring physical exertion and the ability to adapt to changing conditions.

Responsibilities

• Deploy and operate new data center infrastructure across projects or functions.
• Report issues and follow data center procedures to troubleshoot and diagnose straightforward issues with equipment or infrastructure as they arise.
• Maintain the security and integrity of data, tracking various forms of media to check for standard data security issues.
• Disassemble specific equipment that has reached its end-of-life via part replacement or maintenance, in a team setting.
• Repair, fix, and perform preventative maintenance on equipment, servers, machines, or infrastructure based on identified issues.

Requirements

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting operating systems and computer/server hardware or networking protocols.
• Experience with performing component-level repairs on IT equipment.
• Ability to lift/move 50lb (23kg) of equipment and exert oneself physically over extended periods of time.

Nice-to-haves

• Certification in online Google IT Support Professional program.
• 2 years of experience diagnosing and troubleshooting operating systems and computer/server hardware or networking protocols.
• Experience working within a data center or network operation center environment.
• Ability to collaborate and partner with teams to overcome challenges.
• Ability to adapt to changes in a fluid work environment.

Benefits

• Health insurance
• 401k
• Paid holidays
• Flexible scheduling
• Professional development opportunities