Performance & Capacity Engineer
Responsibilities
Own infrastructure capacity planning for Meta: including Servers, Data Centers, Network
• Design, implement and launch software systems to improve capacity planning efficiency and quality, partnering with software engineers
• Contribute to end to end capacity planning processes, methodologies, and data to deliver executable and optimized plans
• Manage and resolve critical escalations and exceptions in all areas of the capacity planning
• Build mathematical models to perform simulation and optimization studies of demand and supply projections, scenario planning, and feasibility analysis while balancing various constraints
• Work cross-functionally to define problem statements, collect data, build analytical models and make recommendations to drive change and optimization to inform company-level infrastructure decisions
• Partner across Infra: such as platform teams, operations, networking planning, data center planning as well as Product and Finance teams to find the most optimal ways to scale our Infrastructure
• Effectively navigate complex tradeoffs and relationships to balance solving for team, cross-functional partner / stakeholders, and Meta company priorities. Balance the need to "keep things running" with longer-term, high-impact projects
Minimum Qualifications
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years of experience in performance or software engineering and/or optimization pertinent data science or equivalent practical experience
• 8+ years of experience in designing and implementing models and optimization algorithms
• 4+ years of experience in coding/scripting languages such as Python, R, Java, C, C++, PHP
• Experience working with distributed systems at scale
• Experience in infrastructure operations and technical infrastructure knowledge
• Experience working with cross-functional teams
• Experience optimizing complex systems, working with large datasets, and driving business impact
Preferred Qualifications
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience in multi-phase/multi-year system/software roadmap development
• Experience in public or private cloud capacity planning and optimization
