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Scale AIScale AI

Staff FullStack Software Engineer, , GPS

Leads architecture and implementation of full-stack AI applications for public sector clients, translating ambiguous mission needs into secure, scalable platforms. Requires 10+ years of full-stack experience with Python, Node.js, React, Kubernetes, and cloud infrastructure, plus strong technical leadership.

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 frameworks for production-grade AI applications, 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 senior and junior staff, and align products 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 expertise across Python, Node.js, and React.
  • Experience designing high-scale architectures on Kubernetes and global cloud infrastructures, including AWS, Azure, or Google Cloud.
  • Expertise overseeing production-grade ecosystems with strong system integrity, security, and scalability.
  • Experience deploying and troubleshooting end-to-end solutions in complex, high-security client environments.
  • Self-driven leadership, ambiguity resolution, staff mentoring, and technical vision-setting.
  • Experience with asynchronous workflows and documentation-first engineering cultures.

Nice to Have

  • Startup experience as a CTO, founding engineer, forward deployed engineer, or dedicated customer engineer.
  • Cross-functional experience with operations.
  • Experience building LLM-driven solutions and architecting future-proof systems.
  • Proficiency in Arabic.

Skills

Python, Node.js, React, Kubernetes, AWS, Microsoft Azure, GCP, Distributed Systems, Cloud Infrastructure, LLMs, Asynchronous Workflows, System Architecture

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