Technical Logistics Specialist

Meta is seeking a Technical Logistics Specialist to assist in the design and deployment of scalable and efficient tools that support all aspects of our logistics, spares planning, asset management, warehouse fulfillment and storage & distribution operations. This role will be required to work closely with cross-functional teams and across boundary organizations to gather requirements, design solutions, implement tools and processes to support Meta Data Center operations.

Responsibilities

• Design, build, test, deploy and maintain tools and software solutions to support internal automation opportunities
• Work closely with software engineers to understand data structures, data sources and systematic processes during system development
• Liaise with cross-functional teams to assist with best practices and to ensure end-to-end process and tooling consistency
• Partner with the business and software engineers to design, deploy and maintain asset management, inventory management and logistical systems for Meta's Data Centers
• Lead sessions to identify process inefficiencies, gather business requirements, partner with development teams to manage deliverables, testing and validation, roll-out training, and triage and resolution of issues

Minimum qualifications

• Bachelor's degree in Computer Science or related field, or equivalent experience
• 5+ years of experience building scalable tools for logistics and inventory management
• Experience with technical debugging
• Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
• Experience explaining technical issues to both technical and business partners
• Proficiency with SQL and understanding of database systems
• Experience with one or more programming languages such as PHP, C++, Javascript, Python Experience building and maintaining applications using React
• 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 with ORMs
• Experience in implementing a Warehouse Management system, Inventory Management System or other logistical systems
• Data Center logistics experience
• 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 using Oracle, SAP or other ERP platforms for supply chain management
• Master's degree in Management Information Systems, Computer Science, Engineering, or a related technical discipline
• System Architecture Design experience
• Familiarity with web services and API ecosystems
• 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)
• Experience in distribution center/hub solution implementation, warehouse fulfillment, lot tracking or FIFO