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Meta is seeking to optimize site-wide performance and capacity at the intersection of all Meta products and services, and all physical infrastructure, to balance service, infrastructure, financial, and business constraints.

Requirements

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Minimum 4 years of experience working with distributed systems at scale
• Proficient in any coding language and designing software systems
• Desire to learn about capacity planning and optimization
• Experience managing ambiguity
• Experience learning and applying new business and technical concepts
• MS or PhD in Computer Science, Operations Research, or other technical field

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
• Partner across the engineering technical landscape to optimize at the intersection of hardware, infrastructure, and software
• 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
• Identify capacity-related issues proactively and work across technical and business teams to define and implement solutions

Other

• Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• Minimum 4 years of experience
• Desire to learn about capacity planning and optimization
• Experience managing ambiguity
• Experience learning and applying new business and technical concepts