Forward-Deployed AI Full-Stack Engineer

Employment

Doha

On-site

QAR 400,000 - 700,000

Full time

13 days ago
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Job summary

Scale is seeking a Senior Full Stack Software Engineer (Forward Deployed) to collaborate with public sector partners and rapidly build full-stack AI applications. You will architect production-grade ecosystems and guide cloud infrastructure across global environments.

Ideal candidates hold a Masters/PhD in CS and 10+ years of full-stack experience with Python, Node.js, and React, plus Kubernetes and cloud expertise across AWS, Azure, or GCP.

Qualifications

  • 10+ years of full-stack experience across Python, Node.js, and React.
  • Experience architecting complex distributed systems at scale.
  • Proven ability to design production-grade ecosystems with strong security and reliability.

Responsibilities

  • Serve as the lead technical strategist for public sector engagements, translating ambiguous requirements into robust architectural roadmaps.
  • Architect production-grade AI applications, integrating interactive UIs, backend systems, and AI models at scale.
  • Guide evolution of cloud infrastructure for security, global scalability, and long-term integrity across environments.
  • Direct development of core platforms and shared services to meet diverse client needs.
  • Mentor senior and junior staff and align products with a cohesive technical architecture.
  • Turn real-world client lessons into reusable patterns for the engineering team.

Skills

Leadership
Python
Node.js
React
Distributed systems

Education

Masters or PhD in Computer Science

Tools

Kubernetes
AWS/Azure/GCP

Job description

Scale is seeking a Senior Full Stack Software Engineer (Forward Deployed) to collaborate with public sector partners and rapidly build full-stack AI applications. You will architect production-grade ecosystems and guide cloud infrastructure across global environments.

Ideal candidates hold a Masters/PhD in CS and 10+ years of full-stack experience with Python, Node.js, and React, plus Kubernetes and cloud expertise across AWS, Azure, or GCP.

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