Facilities Operations Lead - Compute

We are seeking a Facilities Operations Lead to support the commissioning, deployment, and long-term operation of our next-generation AI data centers. This role bridges the interface between data center construction and hardware landing, ensuring seamless integration of mission-critical infrastructure with hardware deployment timelines. You will define and execute commissioning plans, support infrastructure bring-up, and take ownership of operations and maintenance for cutting-edge, large-scale, AI data centers. You will collaborate closely with design, construction, and hardware teams to define repeatable processes for new data center builds and lead hands-on operations to uphold the performance and reliability of our deployed infrastructure.

Responsibilities

Define and execute sequences of operations, commissioning steps, and bring-up processes for mission-critical data center facilities; Interface with the design and hardware teams to define deployment procedures tailored to each data center and hardware configuration; Oversee installation, commissioning, and operational readiness of large-scale data center campuses; Manage monitoring, maintenance, and quality control of the data center infrastructure, including high-performance liquid cooling systems; Develop on-site operations staffing strategy; Develop and enforce procedures for planned and unplanned downtime and SLAs for critical facility components.

Requirements

Have 10+ years of experience in large-scale data center facility operations, commissioning, or critical infrastructure engineering; Are deeply familiar with liquid-cooled IT systems, including CDU and in-rack/in-row manifold design, bring-up, and servicing; Enjoy defining and improving infrastructure processes at the intersection of construction, hardware, and operations; Are comfortable owning infrastructure from deployment to long-term maintenance and failure recovery; Have experience responding to field issues and managing reliability through well-defined operational processes.