Meta · 17 hours ago
Performance & Capacity Engineer - Capacity Planning Optimization(Technical Leadership)
Menlo Park, CA
Full-time
Onsite
Senior Level, Lead/Staff
$219/hr - $301/hr
10+ years expMeta 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.
Computer Software
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
Qualification
Required
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 non-technical contributors
Experience with large-scale technical infrastructure and distributed systems
Preferred
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
Company
Meta
Meta's mission is to build the future of human connection and the technology that makes it possible.
10001+ employees
Funding
Current Stage
Late StageLeadership Team
Kathryn Glickman
Director, CEO Communications
Christine Lu
CTO Business Engineering NA
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