Performance & Capacity Engineer - Planning Optimization

Meta·Accel (Getro)
Menlo Park, CA$184k–$257kPosted Jul 8, 2026
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Skip to main content Performance & Capacity Engineer - Planning Optimization Meta Menlo Park, CA Performance & Capacity Engineer - Planning Optimization Meta Menlo Park, CA 1 week ago Be among the first 25 applicants See who Meta has hired for this role Report this job Meta provided pay range This range is provided by Meta. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $184,000.00/yr - $257,000.00/yr Meta is seeking a Performance & Capacity Engineer to join the Capacity Engineering & Analysis team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network).You will build and optimize infrastructure capacity planning processes and tools covering all of Meta, in one of our largest transformations of how we plan and manage infrastructure capacity.You will be in a highly cross-functional role, with the opportunity to work with a variety of engineering and business teams at the intersection of all Meta products and services (Facebook, Instagram, WhatsApp, etc), all physical infrastructure (Servers, Data Centers, Network), and product business goals (AI, Metaverse, etc). You will optimize capacity plans that inform strategic infrastructure and product decisions at the executive level, as well as providing execution guidance for infrastructure and product teams.To do this, you will partner across technical and business orgs to design the right solutions and lead engineers to build effective technical and process solutions to transform Meta's capacity planning process to be software driven, highly flexible, agile, and ROI Driven. You will connect business strategy with software-driven modeling of detailed service, platform, and infrastructure considerations for executable plans.Performance & Capacity Engineer - Planning Optimization Responsibilities:Own both technical as well as business outcomes for capacity planning for all of Meta: all software products/services and plans for how to scale server and data center resources most efficientlyBuild automated, scalable data and analytics solutions by developing advanced automation, mathematical optimization, and/or AI modelsUse the tools you build to own the business outcomes: develop and analyze variety of business and technical scenarios to inform executive decision-making around infrastructure/product, up to the CxO levelDesign 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, etcPartner 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 identify efficient ways to scale infrastructure and place our servicesEffectively lead company-wide Capacity Planning business processes across technical and non technical contributorsPartner with Finance to balance cost efficiency with technical and product...

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