Balance the need to "keep things running" with longer-term, high-impact projectsBachelor'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 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 optimizationMeta builds technologies that help people connect, find communities, and grow businesses. Meta is seeking a Performance & Capacity Engineer to join the Capacity Planning and Optimization Engineering (CPOE) team to focus on site-wide performance and capacity optimization at the intersection of all Meta products and services, and all physical infrastructure (Servers, Data Centers, Network).