Performance & Capacity Engineer - Planning Optimization

Meta

$130K — $180K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or a related technical field, or equivalent experience.
  • 8+ years of experience coding and designing software systems.
  • 8+ years of experience in capacity, performance, software, or reliability engineering.
  • Ability to navigate ambiguity and rapidly learn new concepts.
  • Experience working collaboratively with cross-functional technical and business teams.

Responsibilities

  • Own capacity planning outcomes for all Meta products and optimize server and data center resource scaling.
  • Develop automated data and analytics solutions using state-of-the-art optimization and AI models.
  • Drive executive decision-making by developing business and technical scenarios for infrastructure and product.
  • Design and implement scalable software systems that connect business strategies with technical execution.
  • Work cross-functionally to optimize hardware, infrastructure, and software interactions.
  • Collaborate with Finance to enhance cost efficiency while meeting technical needs.
  • Proactively identify capacity-related issues and implement effective solutions.

Benefits

  • Opportunity to work with cutting-edge technology, including large-scale AI infrastructure.
  • Cross-functional role allowing collaboration with various engineering and business teams.
  • Support for professional development and ongoing learning opportunities.
  • Work on impactful projects that drive change at a strategic level within the company.
Full Job Description
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). This role will focus on creating and optimizing global and regional capacity plans at various altitudes to balance service, infrastructure, financial, and business constraints, directly managing $billions of investment per year. This role will cover all Meta products, platforms, and physical hardware, from tactical near-term granular optimized plans up through the most strategic levels with company level impact at the CxO level. We do this primarily by building software and mathematical optimization models, not manual planning. You will accomplish these goals by using a combination of capacity/performance engineering and/or operations research/data science skills. This is one of the most cross functional roles at the company, with the opportunity to work with a variety of engineering and business teams to power the rapid growth of Meta's products. This engineer will help to ensure optimal operation of our infrastructure from both a cost and technology perspective, with millions of servers, Gigawatts of data center capacity, and cutting edge technology including some of the largest AI infrastructure builds in the world. Help build one of the largest fleets, powering one of the largest internet services in the world! This position is full-time.

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 efficiently
• Build automated, scalable data and analytics solutions by developing state-of-the-art automation, mathematical optimization, and/or AI models using Meta's unparalleled data infrastructure
• Use the tools you build to own the business outcomes: develop and analyze variety of business and technical scenarios to drive the highest levels of executive decision making around infrastructure/product, up to the CxO level
• 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
• 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
• Partner with Finance to balance cost efficiency with technical and product considerations
• Greenfield work: Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization at the most strategic levels
• A lot of other cool work: Identify capacity-related issues proactively and work across technical and business teams to define and implement solutions

Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years experience in any coding language and designing software systems
• 8+ years experience in capacity, performance, software, or reliability engineering
• Proven experience to manage ambiguity, experience to frequently learn new technical and business concepts

Preferred Qualifications
• MS or PhD in Computer Science, Operations Research, or other technical field
• Practical experience and demonstrated success in Capacity Planning for a major private or public cloud
• Experience with mathematical optimization
• Experience working with variety of technical and business teams

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

Equal Employment Opportunity

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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