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Verified by our engine · Posted 1mo ago
Data Center Capacity Engineer
Meta · Data Center, Engineering, Data Center Operations, Network Engineering
Sweden
- Posted
- 1mo ago
- Workplace
- Not specified
- Salary
- Not disclosed
- Visa sponsorship
- Not specified
Posted on 21 August 2026
Work model not stated
Salary range not shared by the company
Visa sponsorship details unknown
This role has closed. It's kept as a record — see Meta's open roles or the similar live roles below.
See Meta's open rolesMeta 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 fleet utilization, model capacity demand, and partner with infrastructure, supply chain, and site operations teams to plan and deliver compute, storage, and network resources at scale. You will translate complex capacity signals into actionable deployment plans that keep Meta's data centers running efficiently and reliably.Responsibilities
Fulfill capacity models that forecast compute, storage, and network demand across Meta's global data center fleet
Analyze rack placement and delivery trends, and recommend corrective deployment actions
Partner with supply chain, procurement, and site operations teams to align hardware delivery schedules with capacity timelines
Translate capacity demands into rack-level deployment plans, coordinating with data center operations teams to execute against build-out milestones
Build and refine data pipelines and dashboards to provide real-time visibility into fleet capacity delivery across global regions
Identify systemic inefficiencies in capacity allocation and design process improvements to increase infrastructure utilization and reduce waste
Collaborate with infrastructure engineering and product teams to incorporate new hardware generations and evolving workload requirements into capacity
Communicate capacity risks, tradeoffs, and recommendations to engineering leaders and cross-functional stakeholders through written analyses and structured reviews
Contribute to team-level capacity delivery methodology, tooling standards, and goal-setting to improve operational efficiency
Leverage AI-assisted analysis and workflow automation to accelerate capacity modeling, anomaly detection, and reporting at scale
Minimum Qualifications
6+ years of experience in data center capacity planning, infrastructure operations, or site production engineering
Experience delivering capacity models and demand forecasts for large-scale compute, storage, or network infrastructure
Experience collaborating with supply chain, procurement, or data center operations teams to execute infrastructure build-out plans
Familiarity with server hardware lifecycle management, rack-level power and cooling constraints, and data center physical infrastructure planning
Preferred Qualifications
Experience with capacity planning for hyperscale or cloud data center environments spanning multiple geographic regions
Experience building or improving capacity planning tooling, simulation models, or forecasting frameworks used across engineering organizations
Experience working with data analysis tools and scripting languages (such as Python, SQL, or equivalent) to build capacity reporting pipelines and automate workflows
Track record of identifying and driving infrastructure efficiency improvements that measurably reduced cost or improved utilization at fleet scale
About Meta
Meta concentrates its European engineering in Dublin, London and Paris, working on infrastructure, AI and core product. Headcount has been volatile since 2022, so treat the size of the board as a snapshot rather than a trend.