GO Systems, within Product and Regulatory Operations (PRO), is a technically-minded team responsible for developing and executing a unified, interoperable infrastructure strategy across Global Operations (GO). The team drives production workflow maturity by identifying tooling strategies that solve complex operational business problems and partnering with key engineering teams to execute against those strategies at scale. We are looking for an experienced full-stack software developer to join GO Systems. In this role, you will lead architectural decisions for our support platform and internal tooling ecosystem, driving solutions that remove engineering bottlenecks, accelerate operational workflows, and enable Global Operations to scale effectively across a diverse, multinational environment.

Qualifications:

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 3+ years of experience in building and shipping full-stack projects across frontend, backend, and data layers 3+ years of experience driving end-to-end execution of complex, multi-team technical projects while contributing to the technical strategy and roadmaps Experience architecting and scaling internal tooling platforms or operational support systems in a large, multinational environment Experience communicating technical decisions and influencing cross-functional partners across large organizations through written proposals and design documentation Experience working across global, multicultural teams to design and improve business operations and tooling Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with workforce management tooling, bug management systems, or customer support platform development Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience with process change management or large-scale process improvement initiatives within a global operations or trust and safety context Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience integrating AI or machine learning capabilities into operational workflows, including responsible AI practices such as bias mitigation and quality review Experience with agile and scrum development methodologies applied to delivering complex operational tooling roadmaps