Director, Capacity Engineering

Fleet Data Centers designs, builds and operates mega-scale data center campuses. Fleet provides its customers with flexibility and predictability to meet their upside demand forecasts, addressing a key need in the market as traditional leased models are struggling to keep pace with the demand for new Cloud and AI infrastructure. Fleet is led by a team of industry veterans that have already made a lasting imprint on the evolution of global digital infrastructure and are committed and uniquely capable of up leveling data center development scale and operations in the face of rising demand.

Fleet is well positioned to bring in-house design, engineering and operational capabilities to collaborate with customers on tailored solutions for campuses of 500MW+. This unique model enables Fleet to provide the world’s largest and most sophisticated customers with a seamless extension of their own data center fleets with constant access to design innovation. Fleet is headquartered in Denver, Colorado, with satellite offices in Seattle, WA and Arlington, VA.

The Director of Capacity Engineering, will be the strategic lead responsible for the end-to-end lifecycle of server rack integration within our global data center footprint. This role will bridge the gap between high-level infrastructure design and physical execution on the data center floor.

The mission is rapid, high-quality physical onboarding of diverse customer environments and managing the transition from a signed contract to a "live" environment. This includes overseeing cage builds, rack installations, structured cabling, and the delivery of Managed Services (Smart Hands) across a multi-site portfolio. This role will lead the Capacity Planning, System Engineering and Data Science function for Fleet. The Director, Customer Engineering, reports to the Sr.

Director of Data Center Planning and Delivery, Fleet Data Centers.

We are considering candidates that reside in Seattle, WA, Denver, CO, Arlington, VA or Austin, TX

• Customer Onboarding & Integration: Lead the "Service Delivery" lifecycle. Ensure customer-owned or leased hardware is racked, stacked, and patched according to specific SLAs.
• Multi-Tenant Space Management: Optimize the "White Space" floor plan to maximize power density and cooling efficiency across shared data halls.
• Custom Cage & Cabinet Solutions: Oversee the design and build-out of custom security cages, specialized containment (hot/cold aisle), and high-density rack configurations.
• Interconnectivity & Cross-Connects: Manage the deployment of complex meet-me-room (MMR) architecture, ensuring seamless fiber/copper cross-connects between tenants and carriers.
• Remote Hands Leadership: Standardize the "Smart Hands" service catalog. Train and lead technicians to perform hardware swaps, power cycles, and audits on behalf of remote customers.
• Compliance & Audit Readiness: Ensure all deployments meet rigorous security and uptime standards (SOC2, ISO 27001, PCI-DSS) required by enterprise and financial tenants.
• Strategic Deployment
  
  Roadmap:
  
  Develop and execute a global deployment strategy that aligns with capacity planning and business growth forecasts.
• Operational Excellence: Oversee the "dock-to-live" process, ensuring racks are received, positioned, powered, and networked with maximum efficiency and minimal rework.
• Cross-Functional Leadership: Partner with Data Center Design, Networking, Power & Cooling, and Logistics teams to resolve bottlenecks and optimize the deployment "playbook."
• Capacity Planning: Accountable for the lifecycle of physical capacity, from long-range forecasting of space and power to the granular execution of rack-level deployments.
• Systems Engineering: Accountable for designing the high-density, scalable blueprints that power global cloud and AI services. Lead the rack architectural design and standardization of rack-level infrastructure.
• Data science: Accountable for forecasting and data modeling for the datacenter planning including scenario modeling, analytical dashboards and fault detection models.

• Experience: 12+ years in data center operations, infrastructure engineering, or large-scale hardware deployment.
• Leadership: Minimum 7-8 years in a senior leadership role managing distributed teams and high-stakes projects.
• Technical Depth: Deep understanding of rack-level architecture, including PDU configurations, structured cabling (fiber/copper), and liquid cooling integration (RDHx/Direct-to-Chip).
• Project Management: Proven track record of managing hyperscale or enterprise-level build-outs across multiple geographic regions.
• Education: B.S. in Electrical Engineering, Mechanical Engineering, Computer Science, or a related field (MBA or MS preferred).
• Experience with Lean Six Sigma or similar process improvement methodologies.
• Familiarity with DCIM (Data Center Infrastructure Management) software and asset tracking systems.
• Knowledge of global trade compliance and logistics for heavy…