Software Engineer - Capacity Planning (Technical Leadership)

Meta is seeking a principal engineer to join our Infrastructure Capacity Planning team, driving automation across our global supply chain ecosystem. You will architect and build frameworks that unify fragmented data, automate complex processes, and empower business and technical users to make decisions at scale.The team is responsible for building and scaling automation across data, process, and system layers, enabling Meta's infrastructure supply chain to meet rapid growth, frequent change, and increasing complexity. You will drive the design and implementation of automation frameworks, data integration, and governance solutions that span multiple systems, supporting business and technical users in planning, execution, and analytics.

Software Engineer - Capacity Planning (Technical Leadership) Responsibilities:

• Architect and implement automation solutions across the supply chain ecosystem, including data onboarding, validation, transformation, and reporting
• Lead the development of frameworks and tools for end-to-end process automation, integrating variety of systems and partners, and enabling rapid onboarding and extensibility
• Design and build modular, reusable components for scenario modeling, simulation, analytics, and optimization
• Drive governance, data quality, and compliance automation, ensuring robust stewardship, certification, and auditability across all supply chain data assets
• Collaborate with cross-functional partners (Data Engineering, Data Science, Business Operations, external partners) to deliver unified, business-facing platforms and self-serve interfaces
• Incorporate GenAI and advanced analytics into supply chain automation, leveraging AI/ML for predictive modeling, anomaly detection, and decision support
• Set technical direction for integrating and automating workflows across Meta-native and external supply chain systems
• Define and track success metrics: reduced manual effort, increased automation coverage, improved data quality, faster scenario analysis, and successful onboarding of new models and partners

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years of programming experience in a relevant language
• Proven track record of planning multi-year roadmap in which short-term projects ladder to the long-term mission
• Experience driving large cross-functional/industry-wide engineering efforts
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
• Experience communicating and working across functions to drive solutions
• Experience mentoring/influencing executive stakeholders across organizations

• Extensive experience architecting and building large-scale automation frameworks (ideally in supply chain, infrastructure, or similar domains)
• Expertise in distributed systems, data integration, and complex process automation
• Extensive background in scenario modeling, simulation, and analytics
• Experience with AI/ML (GenAI) for predictive analytics and optimization
• Track record of delivering business-facing, self-serve automation tools
• Experience with compliance, auditability, and data quality frameworks
• Practical knowledge of how to drive automation and reduce manual processes across the ecosystem