Company

FacebookSee more

addressAddressMenlo Park, CA
type Form of workFull-Time
CategoryInformation Technology

Job description

Summary
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.
Required Skills
Performance & Capacity Engineer - Capacity Planning Optimization 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 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 levels.

Minimum Qualification
Minimum Qualifications:
  • 10+ years of experience in performance capacity or software engineering.
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
  • 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.

Preferred Qualification
Preferred Qualifications:
  • Experience with mathematical optimization and solvers.
  • 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 large-scale technical infrastructure and distributed systems.

EOE
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
Refer code: 7333531. Facebook - The previous day - 2023-12-21 06:11

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Menlo Park, CA
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