Critical Facility Engineer
Listed on 2026-10-13
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Engineering
Electrical Engineering, Maintenance Technician / Mechanic
Summary:
Meta is seeking a Critical Facility Engineer to join our Data Center Facility Operations team. Our data centers form the backbone of Meta's global infrastructure, supporting the systems and services that connect billions of people worldwide. In this role, you will be responsible for the hands-on operation and maintenance of critical mechanical, electrical, and controls systems that keep our data centers running safely and reliably around the clock.
Required Skills:
Critical Facility Engineer Responsibilities:
Perform hands‑on operations and maintenance which includes all physical and administrative operations tasks, service, and maintenance in accordance with site processes and procedures to ensure high levels of uptime, efficiency, and safety without disruption to the business
Complete work order requests accurately and on time in an enterprise asset management (EAM) system (Hexagon)
Achieve and maintain a high‑level of technical knowledge regarding data center infrastructure and operations. Successfully complete personnel qualification standards (PQS) training
Provide technical expertise and assistance as required
Respond quickly, using Meta procedures or emergency operating procedures to data center facility emergencies
Regularly inspect equipment, buildings, safety routes and grounds to check or identify any abnormal or unsafe conditions or faults
Troubleshoot, evaluate and recommend system upgrades
Order parts and supplies for maintenance and repairs
Work with vendors and contractors to ensure work is in accordance with the agreed Meta processes, procedures, and standards
Escalate issues to facility management appropriately and timely
Assist in scheduling and supervising vendors/subcontractors during equipment/systems maintenance and service
Provide recommendation of improvements to the operations and maintenance program on an ongoing basis
Required to work on a shift schedule, which may include nights and holidays
Utilize computerized tooling, in a control room environment, to operate remote equipment, monitor system alerts, centralize communications, diagnose faults, and prioritize the dispatching of resources
Minimum Qualifications:
Minimum Qualifications:
5+ years experience in electrical, HVAC, mechanical, controls, or other technical maintenance field
Associate's degree in engineering plus 3+ years experience or
Bachelor's degree in related field plus 1+ years experience in electrical, HVAC, mechanical, or controls will be considered in lieu of 5+ years experience
Use hands and fingers
Reach/push/pull with hands/arms/shoulders
Stoop, kneel, crouch and crawl
Lift and/or otherwise move 45 pounds or more
Ability to work at a workstation for extended periods, with or without reasonable accommodation
Preferred Qualifications:
Preferred Qualifications:
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Knowledge of critical facilities operations
Experience interpreting blueprints/CAD drawings
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Knowledge of mechanical, electrical, and life safety monitoring and control systems typically used in critical environments
3+ years of experience in a data center or other Critical Environment (pharma, clean room, medical, power production, etc.)
Trade Certification or state licensure in Electrical or Mechanical (HVAC)
Knowledge of EAM/CMMS systems
Professional affiliations (7x24 Exchange, IFMA, Data Center Pulse, etc.)
Public Compensation:
$67,995/year to $103,002/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affimpressive? Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
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