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Performance & Capacity Engineer

Meta· Data Center Operations
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Bellevue, WA, Multiple locations$184k - $257kFull-timePosted 1mo ago

About the role

Meta seeks a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team. The role focuses on site-wide performance and capacity optimization across Meta’s products, services, and physical infrastructure, building software and optimization models to balance capacity, power, and cost, and guiding company-level infrastructure decisions.

Responsibilities

  • Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network
  • Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
  • Contribute to end to end capacity planning processes, methodologies, and data to deliver executable and optimized plans
  • Manage and resolve critical escalations and exceptions in all areas of the capacity planning
  • Build mathematical models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
  • Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization to inform company-level infrastructure decisions
  • Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
  • Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities. Balance the need to “keep things running” with longer-term, high-impact projects

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
  • 8+ years of experience in designing and implementing models and optimization algorithms
  • 4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
  • Experience working with distributed systems at scale
  • Experience in infrastructure operations and technical infrastructure knowledge
  • Experience working with cross-functional teams
  • Experience optimizing complex systems, working with large datasets, and driving business impact

Skills

Required:Capacity planningSoftware design and implementationMathematical modeling and optimizationData analysis

Benefits

  • Bonus
  • Equity
  • Benefits
Last updated Oct 23, 2026. Interested? Apply on the company site.

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