Staff FullStack Software Engineer, (Forward Deployed), GPS

Scale AI
Doha
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 10+ yearsEducation: mastersSkills: ["Leadership","Mentorship","Communication","Problem-solving","Teamwork"]

Lead technical strategy for public sector engagements, architect production-grade AI applications, guide cloud infrastructure for global scalability, develop core platforms, mentor staff, and translate real-world client lessons into reusable patterns to power the engineering team, driving a future-proof architecture in a forward-deployed, AI-powered context.

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FursaFursa
Scale AI
Scale AI
4 months ago

Staff FullStack 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: 7 hours agoStatus: Live

Job Summary

Lead technical strategy for public sector engagements, architect production-grade AI applications, guide cloud infrastructure for global scalability, develop core platforms, mentor staff, and translate real-world client lessons into reusable patterns to power the engineering team, driving a future-proof architecture in a forward-deployed, AI-powered context.
Location: Doha
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation.
  • •Architect the 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 the development of core platforms and shared services to meet cross-cutting needs for diverse global client use cases.
  • •Partner with cross-functional leadership to steer the technical roadmap, mentoring staff and aligning products with a cohesive architecture.

Key Requirements

  • •Masters or PhD in Computer Science or equivalent deep industry experience in architecting complex, distributed systems.
  • •10+ years of full-stack expertise across Python, Node.js, and React, with experience designing high-scale architectures on Kubernetes and global cloud infrastructures (AWS/Azure/GCP).
  • •Expert ability to design and oversee production-grade ecosystems with strong emphasis on system integrity, security, and scalability.
  • •Extensive experience deploying and troubleshooting end-to-end solutions in high-security client environments.
  • •Self-driven leader capable of resolving ambiguity, mentoring senior staff, and setting technical vision.
Experience:10+ yearsPublic sectorAI
Education:Master's in Computer Science
Skills:LeadershipMentorshipCommunicationProblem-solvingTeamwork
Languages:English
Tech Stack:PythonNode.jsReactKubernetesAWSAzureGCP

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