This role is for a Mechanical Subject Matter Expert in a data center facility operations team. The primary focus is on the maintenance, troubleshooting, repair, training, and project oversight of mechanical systems and equipment (chillers, cooling, generators, fire suppression, etc.). While the role mentions integrating AI tools for workflow optimization and adhering to ethical AI practices, these are described as secondary applications or skills to be developed, not the core function of the role, which is mechanical engineering and operations.

Meta is seeking a data center Electrical Subject Matter Expert (SME) to join their Data Center Facility Operations team. The role involves being the technical operations expert for electrical systems, responsible for procedure-based maintenance, troubleshooting, repair, training, and project oversight. The candidate needs a broad understanding of electrical systems and equipment, including low and medium voltage power distribution, protection and controls, UPS, battery systems, electrical testing, and relevant codes. Responsibilities include serving as an onsite technical resource, contributing to the electrical safety program, planning and approving work procedures, conducting hands-on troubleshooting and repairs, overseeing system configurations and upgrades, providing QAQC oversight, leading root-cause analysis, training staff, managing vendor relationships, and providing feedback on global strategies and designs. Qualifications include 7+ years of relevant electrical industry experience or a Bachelor's degree/trade certification with 3+ years of experience, with experience in critical environments and theoretical/practical understanding of power equipment and systems. Working knowledge of critical facility operations, mechanical, controls, and fire/life safety systems is required, along with experience interpreting blueprints and drawings. Experience in high voltage equipment, NETA/NICET certifications, field service engineering, data center industry experience, and instrumentation/control/power system experience are also mentioned. Notably, the posting includes requirements for integrating AI tools to optimize workflows, adhering to ethical AI practices, and demonstrating ongoing AI skill development.

Meta is seeking a data center Facility Project Manager to manage a portfolio of physical infrastructure projects on an operational data center campus. The role involves coordinating electrical, mechanical, controls, and fire/life safety systems, developing project charters, work breakdown structures, and resource-loaded schedules. The position requires managing cross-functional teams, monitoring risks, and ensuring the successful delivery of retrofit projects. While the core role is project management for data center facilities, the posting emphasizes the integration and responsible use of AI tools to optimize workflows and drive impact, including skill development in prompt engineering and agent orchestration.

Meta is looking for a Critical Facility Engineer to manage and maintain critical systems in their data centers, ensuring high uptime, efficiency, and safety. This role involves hands-on operations, maintenance, troubleshooting, and vendor management, with a requirement to integrate and utilize AI tools for workflow optimization and demonstrate ongoing AI skill development.

Meta is seeking an experienced Logistics Operations Specialist to manage and optimize data center field and warehouse operations. The role involves overseeing third-party logistics teams, developing and implementing processes, ensuring safety and compliance (SOX), managing inventory, and driving efficiency improvements. The position requires strong analytical, communication, and project management skills, with a focus on process analysis and optimization. While the role mentions integrating AI tools and adhering to AI practices, its core function is logistics operations, not AI/ML development.

Meta is seeking an experienced Construction Manager to join their Data Center Design, Engineering & Construction team. The role involves managing the construction, commissioning, and turnover of data centers, including budget, schedule, and vendor contracts. The position requires a strong understanding of construction management principles and experience with large-scale projects. While the role is primarily focused on construction management, it also emphasizes the integration and application of AI tools to optimize workflows and ensure ethical AI practices.

Meta is seeking an experienced Construction Manager to join their Data Center Design, Engineering & Construction Team. The role involves managing the construction, commissioning, and turnover of data centers, including budget, schedule, risk mitigation, vendor contracts, and safety programs. The ideal candidate will have a Bachelor's degree in engineering or construction management, 10+ years of experience in large-scale construction management, and knowledge of various construction systems and industry standards. While the core role is construction management, the posting mentions integrating AI tools to optimize workflows, adhering to ethical AI practices, and ongoing AI skill development as qualifications.

Meta is seeking a Lead Building Engineer for their Data Center Facility Operations team. This role involves operating and maintaining critical systems in data centers, overseeing work, performing hands-on maintenance, supporting incident management, and ensuring technical knowledge of data center infrastructure. The role requires experience in diverse industries like electrical generation, distribution, cooling, and fire protection systems. While the role mentions integrating AI tools and ethical AI practices, the core responsibilities are focused on traditional data center operations and engineering, not AI/ML model development or deployment.

This role is for a Connectivity Engineer in Meta's Design Engineering and Construction (DEC) team, focusing on data center physical infrastructure. The engineer will manage telecommunication projects throughout their lifecycle, ensuring they are on schedule, within budget, and meet quality standards. Responsibilities include project planning, technical reviews, vendor management, quality assurance, and technical coordination. While the role mentions integrating AI tools for workflow optimization and adhering to ethical AI practices, the core function is data center connectivity engineering, not AI/ML development.