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Scale AIScale AI

Staff Full-Stack Software Engineer, , GPS

Leads architecture and delivery of production-grade full-stack AI applications for public sector clients, translating ambiguous requirements into scalable systems and reusable platform capabilities. Requires 10+ years of full-stack experience, cloud and Kubernetes expertise, technical leadership, and Arabic proficiency.

About the job

Responsibilities

  • Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation.
  • Architect production-grade AI application frameworks, integrating interactive UIs, backend systems, and AI models at scale.
  • Guide the evolution of cloud infrastructure, ensuring security, global scalability, and long-term system integrity across environments.
  • Direct development of core platforms and shared services for diverse global client use cases.
  • Partner with cross-functional leadership to steer the technical roadmap, mentor staff, and ensure products align with a cohesive technical architecture.
  • Translate client lessons into reusable engineering patterns.

Requirements

  • Master's or PhD in Computer Science, or equivalent deep industry experience architecting complex distributed systems.
  • 10+ years of full-stack experience across Python, Node.js, and React.
  • Experience designing high-scale architectures on Kubernetes and global cloud infrastructures, including AWS, Azure, or Google Cloud.
  • Expert ability to design and oversee production-grade ecosystems with strong standards for system integrity, security, and scalability.
  • Extensive experience deploying and troubleshooting end-to-end solutions in complex, high-security client environments.
  • Ability to resolve ambiguity, mentor senior staff, and set technical vision.
  • Experience with asynchronous workflows and documentation-first engineering cultures.
  • Proficiency in Arabic.

Nice to Haves

  • Experience as a startup CTO, founding engineer, forward-deployed engineer, or dedicated customer engineer.
  • Experience working cross-functionally with operations.
  • Experience building LLM-driven solutions and architecting future-proof systems.

Skills

Python, Node.js, React, Kubernetes, AWS, Microsoft Azure, GCP, Distributed Systems, Cloud Infrastructure, Ai Applications, Llm Solutions, Asynchronous Workflows

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