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

Remote from
USA flag
USA
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
19 Apr 2026
Experience level
Senior
Views / Applies
25 / 4

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Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning Optimization Engineering team to lead software systems and process design. You will build and optimize infrastructure capacity planning covering all of Meta, in one of our largest transformations to date of how we plan and manage infrastructure capacity. This is a hands on leadership role, building some of the most complex parts of the system yourself while leading other engineers and non technical contributors.You will be in one of the most cross functional roles at the company, 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 be uniquely positioned to optimize these capacity plans at the most strategic levels with company level impact, with your output used at the CxO level for the most important decisions at the company, 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 the most cutting edge 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.Help build one of the largest infrastructures and most used internet services in the world! This position is full-time.ResponsibilitiesOwn 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 the most 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 the most 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 the most strategic levelsQualificationsBachelor’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 non-technical contributors* Experience with large-scale technical infrastructure and distributed systems Experience and interest in building “Zero to One” – building systems and process from scratch with ambiguous requirements and goals* Experience with technical infrastructure planning or capacity planning* Experience with mathematical optimization and solvers

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