Performance & Capacity Engineer - Capacity Planning Optimization

Meta • New York, NY

431d • $147,000 - $208,000

About The Position

Meta is seeking a Performance & Capacity Engineer to join the Capacity Engineering & Analysis team, focusing on site-wide performance and capacity optimization across all Meta products and services, as well as physical infrastructure. This role involves creating and optimizing global and regional capacity plans to balance service, infrastructure, financial, and business constraints, managing significant investments annually. The engineer will utilize capacity/performance engineering and operations research/data science skills to optimize capacity plans with company-wide impact, collaborating with various engineering and business teams to support Meta's rapid growth.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
• Proficient in any programming language and designing software systems.
• Experience managing ambiguity and demonstrating intellectual curiosity.

Nice To Haves

• MS or PhD in Computer Science, Operations Research, or other technical field.
• Experience with mathematical optimization.
• Practical experience in performance or capacity engineering.
• Experience with distributed systems at scale.
• Experience in planning and analytics.
• Experience working with diverse technical and non-technical teams.
• Direct experience in capacity planning for major cloud services.
• Desire to learn about capacity planning and optimization.

Responsibilities

• Own capacity planning for all of Meta's software products and services, scaling server and data center resources efficiently.
• Develop and analyze business and technical scenarios to inform executive decision-making regarding infrastructure and products.
• Collaborate with engineering teams to optimize hardware, infrastructure, and software integration.
• Work with Finance to balance cost efficiency with technical and product considerations.
• Build automated, scalable solutions to large-scale infrastructure problems using automation, mathematical optimization, and AI models.
• Define problem statements, collect data, build analytical models, and make recommendations for strategic optimization.
• Proactively identify capacity-related issues and implement solutions across technical and business teams.

Benefits

• Bonus
• Equity
• Health insurance
• Paid holidays
• Professional development opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Web Search Portals, Libraries, Archives, and Other Information Services
• Education Level: Bachelor's degree