Software Developer, GO Systems

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  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.

Software Developer, GO Systems Responsibilities:

Lead the design and implementation of scalable full-stack solutions using PHP/Hack and JavaScript/React that power operational workflows across the family of apps Define and contribute to the long-term technical architecture and roadmap for GO Systems tooling, aligning infrastructure strategy with Global Operations business priorities

Identify and resolve systemic engineering bottlenecks across the GO tooling ecosystem, driving measurable improvements in platform reliability and operational efficiency

Partner with engineering, product management, legal, partnerships, and business development stakeholders to translate complex operational requirements into robust technical solutions

Champion engineering best practices for design reviews, code quality, and incident management processes across GO Systems Drive adoption of AI and automation technologies within Global Operations to improve workflow efficiency and support experience quality

Lead cross-functional technical alignment across organizational boundaries, influencing roadmaps and priorities for partner engineering teams

Gather, analyze, and apply operational data to identify systemic gaps and design tooling solutions that improve the end-to-end support experience

Develop business cases and technical proposals that support new and improved processes for consumers, businesses, and partners leveraging Meta's products

Mentor other engineers across the team, elevating technical craft and promoting operational excellence and continuous improvement

Minimum 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 experience3+ years of experience in building and shipping full-stack projects across frontend, backend, and data layers3+ 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

Preferred Qualifications:

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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched…