**Summary:** Facebook is seeking a Data Center Capacity Engineer to join the Strategic Planning team to focus on data center performance and capacity modeling initiatives. This person would be required to work cross-functionally with a number of engineering teams to ensure optimal operations and growth of data center capacity and computing resources from both a cost and technology perspective. Tens of billions of user requests; hundreds of Petabytes of data; thousands of Gbps of network flow. Come and be part of the team building one of the largest Data Center fleet in the industry! **Required Skills:** Data Center Capacity Engineer Responsibilities: 1. Scale one of the largest data center and computing footprints in the world. 2. Work with Data Center Engineering, Capacity Engineering, Product Engineering, Infrastructure Engineering, and Data Engineering teams to find the optimal way to scale the infrastructure. 3. Provide visibility into power, performance and health for all data center locations: Develop capacity insights and KPI’s for global portfolio of data centers utilization and how changes to our products and company events impact power, performance and asset utilization. 4. Help optimize our capacity usage: Develop models to determine and drive scaling and utilization parameters and optimize capacity footprint. 5. Help grow our data center footprint efficiently: Translate current and future software and application needs into requirements for data center location strategies ensuring optimal site-wide performance and cost savings. 6. Tackle the state-of-the-art power and capacity performance issues: Analyze hardware roadmap and industry trends, identify bottlenecks and optimize data center performance and inform the strategic roadmap. 7. Develop models and tools to monitor data center capacity performance and utilization: Monitoring, reporting, data-mining tools to do performance and capacity-related tests and analysis. 8. Solve complex performance challenges: Closely partner with production engineering and software development teams to understand product and service architecture, latency requirements and develop data center capacity solutions to scale and optimize space and power. 9. Find the game changers, and bring them on: Work with Engineering Teams to perform power and capacity analysis on cutting-edge data center and hardware designs to drive improvements in capacity and total cost of ownership. 10. A lot of other cool work: Identify data center capacity-related issues and improvement areas proactively and work with systems, network, operations and engineering teams to discover resolutions. **Minimum Qualifications:** Minimum Qualifications: 11. MS or PhD degree in Computer Science, Computer Engineering, Industrial Engineering or related fields 12. 3+ years of experience in software and hardware performance engineering, capacity engineering, and Capacity Planning 13. Experience in coding & scripting languages such as C++, C#, Java, Python 14. Database experience. 15. Analytical, budgeting and planning experience. 16. Experience working with cross-functional teams. 17. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. **Preferred Qualifications:** Preferred Qualifications: 18. Experience in MySQL. 19. Experience with Statistical tools and modeling **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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.