Meta is seeking a Data Center Capacity Engineer to help ensure our global data center infrastructure can meet the demands of billions of users across Meta's family of apps and services. In this role, you will analyze server and infrastructure capacity trends, model future demand, and partner with hardware, network, and site operations teams to plan and deliver capacity at scale. Your work will directly influence how Meta provisions, allocates, and optimizes compute, storage, and network resources across its data center fleet, enabling reliable and efficient operation of the platforms that connect people worldwide. The Capacity Team at Meta is responsible for managing the growth and lifecycle of computing resources and data center capacity at Meta, as part of a global production footprint. The Data Center Capacity Engineer is responsible for planning and delivering the end-to-end server and hardware capacity requirements in a hyperscale data center campus. Collectively and globally, these roles plan and build one of the largest Internet services in the world with tens of billions of user requests, tens of exabytes of data, thousands of gigabits per second of network traffic, while maintaining operational and resource allocation efficiency. The Capacity Engineer will drive planning, ownership, and delivery of capacity within our data center locations. Demonstrated project management experience, including planning, tracking, and delivering complex infrastructure projects, and infrastructure engineering knowledge are required as this role manages complex infrastructure projects within the data center, often in parallel; including capacity planning, receiving, moving, and decommissioning. The candidate should be able to adapt to shifting priorities and manage concurrent workstreams in a dynamic operational environment. The successful candidate will be able to work independently and also within groups. This role will interact closely with many cross-functional partners, including capacity and performance engineers, data scientists, optimization and process engineers, capacity planners, supply chain, logistics, finance, data center construction, facility operations, security, network engineering, network operations, hardware engineering, software engineering, and systems & tooling engineering.
Responsibilities
Own accountability for the three capacity workflows (receiving, moves, decommissioning), facilitating collaboration among various cross-functional partners to meet capacity demands
• Collaborate with key stakeholders and partners to develop a strategy and drive initiatives that lead to meaningful improvements in support of data center operations. Maintain consistent touchpoints with key XFN partners across data centers
• Analyze business capacity demands and translate that data into local plans to enable rapid delivery of capacity to the data center
• Plan, lead and collaborate with cross-functional data center teams to deliver complex data center infrastructure capacity projects in support of Meta's growth, considering the interdependencies of production resiliency, power, cooling, network, server and application layers
• Build cross-functional relationships and have the ability to influence policies and procedures to improve regional/global data center operations
• Develop and share best practices across all global data centers for all elements of capacity while creating a culture of innovation, collaboration, accountability, continuous improvement, and safety
• Drive alignment and execution of key capacity strategic, engineering, and operational initiatives across functional partners at the data center. Ensure operational consistency, to scale operations efficiently and effectively
• Lead data analytics, metrics, and the interpretation of a complex environment to identify inefficiencies, opportunities, exceptions, and correlations, and proactively respond before they impact data center uptime and utilization. Perform root cause analysis of complex technical and engineering issues and drive resolution
• Create/improve global standards for processes, workflows, and automation roadmaps for software automation that facilitate deployment, maintenance, and decommissioning of server hardware at scale
• Work with Meta hardware and software engineering teams to help resolve complex technical issues that affect Meta's computing infrastructure
• Mentor capacity team members both locally and globally. Seek out and provide guidance on challenges others are having and actively fix them in a scalable way
• Apply deep knowledge of infrastructure (including, but not limited to cooling, power, networking, and automation) as it relates to the capacity role. Be a Subject Matter Expert (SME) in one or more of these areas
Minimum Qualifications
• 7+ years of experience in a combination of capacity planning, demand and supply management, production planning, operations planning, or infrastructure management
• B.S., B.A., or B.Eng. in a relevant field, or equivalent degree or certification
• Experience with process ownership and development, and systems development
• Knowledge of enterprise-level networking, servers, and storage installations
• Demonstrated understanding of data center infrastructure systems and applications
• Familiarity with data center power and cooling constraints, and their impact on server density and capacity planning decisions
• Ability to communicate effectively, in a clear and concise manner, appropriately tailoring messages to multiple audiences
• Demonstrated ability to solve complex problems and to deliver at scale
Preferred Qualifications
• Master's degree in an engineering discipline
• Proficiency in programming and scripting languages such as SQL, R, Python, Bash, or other programming languages
• Background in developing scenario-based capacity models that account for hardware supply chain variability and workload elasticity
• Experience with server hardware lifecycle management, including procurement planning, rack integration, and hardware refresh programs in a large-scale data center environment
• Experience in driving results through AI in a hyperscale environment
• Experience building automated capacity tracking systems or integrating capacity data across multiple infrastructure domains
• Experience in the application of data-driven continuous improvement through Lean Six Sigma or other process analysis methodologies, visualization, and modeling
• Project management and delivery experience through Agile methodology or PMP certification
