Staff Full-Stack Software Engineer, (Forward Deployed), GPS

Scale AI
Riyadh
Workplace: OnsiteFull timeFunction: Software EngineeringEducation: mastersSkills: ["Mentoring","Resolving ambiguity","Self-driven leadership","Documentation-first mindset","Asynchronous execution"]

Lead technical delivery for public sector engagements by converting ambiguous mission needs into architectural roadmaps and guiding onsite implementation of full-stack AI applications. Own production-grade AI application architecture, integrating interactive UIs, backend systems, and AI models at scale. Evolve secure, globally scalable cloud infrastructure, direct core platform/shared services, and mentor senior and junior engineers while translating real-world lessons into reusable platform patterns.

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FursaFursa
Scale AI
Scale AI
1 day ago

Staff Full-Stack Software Engineer, (Forward Deployed), GPS

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live

Job Summary

Lead technical delivery for public sector engagements by converting ambiguous mission needs into architectural roadmaps and guiding onsite implementation of full-stack AI applications. Own production-grade AI application architecture, integrating interactive UIs, backend systems, and AI models at scale. Evolve secure, globally scalable cloud infrastructure, direct core platform/shared services, and mentor senior and junior engineers while translating real-world lessons into reusable platform patterns.
Location: Riyadh
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Serve as the lead technical strategist for public sector engagements by translating ambiguous mission requirements into architectural roadmaps and guiding onsite implementation.
  • •Architect the fundamental frameworks for production-grade AI applications, including integration of interactive UIs, backend systems, and AI models at scale.
  • •Guide the evolution of cloud infrastructure for security, global scalability, and long-term system integrity across environments.
  • •Direct the development of core platforms and shared services to address cross-cutting needs for diverse global client use cases.
  • •Partner with cross-functional leaders to steer the technical roadmap and mentor senior and junior staff, ensuring alignment to a cohesive future-proof architecture.

Key Requirements

  • •Master’s or PhD in Computer Science or equivalent deep experience architecting complex distributed systems.
  • •10+ years of full-stack expertise with Python, Node.js, and React, and experience designing high-scale architectures on Kubernetes and global cloud infrastructure (AWS/Azure/GCP).
  • •Ability to design and oversee production-grade ecosystems with world-class standards for system integrity, security, and long-term scalability.
  • •Extensive experience deploying and troubleshooting end-to-end solutions in complex, high-security client environments.
  • •Proven experience building LLM-driven solutions and anticipating shifts to architect future-proof systems.
Experience:AILLMPublic sectorDistributed systemsKubernetesCloud infrastructureHigh-security client environments
Education:Master's in Computer Science
Skills:MentoringResolving ambiguitySelf-driven leadershipDocumentation-first mindsetAsynchronous execution
Languages:Arabic
Tech Stack:PythonNode.jsReactKubernetesAWSAzureGCPCloud infrastructureLLMsDistributed systems

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn