Staff Full-Stack Software Engineer, (Forward Deployed), GPS
About the role
Full-Stack Frontline engineer role focused on building front-end and backend AI applications for public sector engagements, guiding technical strategy, architecture, and deployment across global cloud infrastructures.
Responsibilities
- Serve as the lead technical strategist for public sector engagements, converting ambiguous mission requirements into robust architectural roadmaps and guiding onsite implementation.
Qualifications
- 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 security and scalability.
- Extensive experience deploying and troubleshooting end-to-end solutions in high-security client environments.
- Proven track record building LLM-driven solutions and architecting future-proof systems.
- Self-driven leader capable of resolving ambiguity, mentoring staff, and setting technical vision.
- Driver of asynchronous workflows and documentation-first cultures.
Skills

About Scale AI
Data-centric infrastructure to accelerate the development of AI
Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.
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