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Software Developer, GO Systems

Job in Menlo Park, San Mateo County, California, 94029, USA
Listing for: Meta
Full Time position
Listed on 2026-08-17
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), DevOps
Salary/Wage Range or Industry Benchmark: 180000 - 260000 USD Yearly USD 180000.00 260000.00 YEAR
Job Description & How to Apply Below

Job overview

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.

Role

We are looking for a staff-level, full-stack software developer to join GO Systems. In this role, you will set the technical direction for our support platform and internal tooling ecosystem, leading architectural decisions that remove engineering bottlenecks, accelerate operational workflows, and enable Global Operations to scale effectively across a diverse, multinational environment.

Requirements
  • Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
  • 8+ years of experience building and shipping full-stack projects across frontend, backend, and data layers
  • 8+ years of experience driving end-to-end execution of complex, multi-team technical projects while defining technical strategy and roadmaps
  • Experience architecting and scaling internal tooling platforms or operational support systems in a large, multinational environment
  • Experience communicating and influencing technical and non-technical cross-functional partners across large organizations
  • Experience working across global, multicultural teams to design and improve business operations and tooling from the ground up
  • 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
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience with agile and scrum development methodologies applied to delivering complex operational tooling roadmaps
  • Experience with process change management or large-scale process improvement initiatives within a global operations or trust and safety context
  • 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
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