Google

Data Center Facilities Technician, Mechanical

Reno, NV, USA

Sponsorship not specified$105k-$146kDetected 8 hours ago

GCPMechanical DesignElectrical EngineeringResearchOSHA

About the role

- Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
- 5 years of Mechanical/HVAC experience in an industrial or commercial environment.

Inspect, maintain, and repair various data center systems such as piping and mechanical system components.
Manage the uptime and maintenance of water pumps and treatment systems, HVAC and control and monitoring systems.
Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment.
Support startup, commissioning, and integration of new mechanical equipment and systems into facilities infrastructure.

Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
5 years of Mechanical/HVAC experience in an industrial or commercial environment.
Ability to work non-standard hours and differing work rotations/shifts.

5 years of experience in maintenance of mechanical/cooling distribution systems or construction/technical environment or a related field.
Knowledge of meters, devices, sensors, and troubleshooting utilizing standard hand tools, digital metering, or calibration/diagnostic equipment.
Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems.
You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly.
The AI and Infrastructure team is redefining what's possible.
Provide daily assistance to technicians as you read blueprints/schematics/sequence of operations, conduct tours of systems, and assess their working order.

This listing is sourced directly from Google's careers page and normalized into a canonical job model.