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Performance & Capacity Engineer - Capacity Planning Optimization(Technical Leadership)

Meta· Data Center Operations
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Menlo Park, CA$219k - $301kFull-timePosted 1mo ago

About the role

Lead software systems and process design for capacity planning optimization across Meta, driving software-driven, ROI-focused infrastructure capacity planning at scale. Hands-on leadership role coordinating across multiple engineering and business teams to transform capacity planning into a scalable, flexible system.

Responsibilities

  • Own infrastructure capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficiently
  • Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software. Work closely with software service owners, Production Engineering, Server Hardware Engineering, Server Supply Chain, Network Engineering, Data Center Design, Operations, and Planning teams to find optimal ways to scale our infrastructure and place our services
  • Design and help build software systems to build scalable, reliable planning systems to connect business strategy with detailed technical execution including regional and temporal bin-packing, optimal service placement, traffic shifts and service migrations, efficient hardware refresh, etc
  • Effectively lead large engineering efforts while implementing complex parts of the system and process design yourself
  • Partner with Finance and business teams to balance cost efficiency with technical and product considerations
  • Work cross-functionally to define problem statements, collect data, build software driven models and make recommendations to drive change and optimization at strategic levels

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 10+ years of experience in Performance, Capacity, or software engineering
  • Proficient in Python, C++, or other coding languages and designing large scale software systems
  • Demonstrated success leading large engineering projects and initiatives. Defining goals, managing ambiguity, inspiring and leading other engineers and Demonstrated success leading large engineering projects and initiatives, including defining goals, managing ambiguity, and inspiring and leading other engineers and non-technical contributors
  • Experience with large-scale technical infrastructure and distributed systems

Skills

Required:Infrastructure capacity planningSoftware systems designCross-functional leadershipData-driven modeling
Nice to have:Cost optimization

Benefits

  • Benefits information is referenced but not enumerated in the description; please refer to Meta benefits page for details
Last updated Oct 23, 2026. Interested? Apply on the company site.

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