Full Stack Developer

Kforce has a client in Tempe, AZ that is looking for a Full Stack Developer to help build and scale geospatial and 3D data platforms that support mapping, indoor intelligence, and reality-capture workflows. The Full Stack Developer will work across the stack-from React based web applications to Node.js services and spatial databases-delivering performant, cloud native solutions on Azure. This role is ideal for an engineer who embraces an AI-native mindset towards software development and enjoys solving complex spatial problems, working with large datasets, and turning advanced data (maps, BIM, point clouds, splats) into intuitive digital twin experiences. Duties:

• Design, develop, and maintain full-stack web applications using React and Node.js
• Build and optimize secure REST APIs (preferably with an API first approach)

supporting spatial queries and high-volume data access * Develop microservices or backend services that handle large scale geospatial data processing

• Model and query geospatial data using PostgreSQL and PostGIS
• Develop interactive map and visualization experiences using Mapbox or equivalent

open-source libraries

• Work with cloud native infrastructure on Azure, deploying containerized services
• Focus on optimizing map load times and ensuring performant, responsive user

experience in emergency scenarios * Integrate identity and access management (IAM) solutions (e.g. EntraID) to support role-based access control (RBAC), and compliance with regulatory standards

• Familiarity with attribute-based access control (ABAC) is a plus
• Support ingestion and transformation of large spatial and 3D datasets
• Collaborate closely with product, design, and domain experts to deliver production

ready features

• Curiosity around spatial data, 3D, containerization, and AI-enabled workflows
• Comfort working in evolving problem spaces and adapting to the challenges
• Strong experience in JavaScript/TypeScript
• Production experience with React on the front end
• Backend development experience with Node.js
• Hands-on experience with PostgreSQL, including schema design and query optimization
• Familiarity with PostGIS or spatial data concepts
• Experience integrating and working with Mapbox (or similar web mapping libraries)
• Working knowledge of Azure cloud services
• Familiarity with API-first development approaches and building secure REST APIs optimized for spatial data
• Experience developing microservices or modular services for geospatial applications
• Working knowledge of containerization technologies and container deployment
• Understanding of AI fundamentals and how AI driven features are integrated into modern applications
• Experience using Git-based workflows and collaborating in a team environment, and following gitOps best practices
• Commitment to continuous learning and innovation, especially in cloud-native and AI-native software development

Nice to Have:

• Experience with Jenkins and CI/CD pipelines
• Experience with container orchestration platforms like Kubernetes
• Familiarity with Jira and GitHub including but not limited to GitHub Actions and Codespace
• Exposure to large or complex datasets (-big data- environments)
• Knowledge of BIM workflows and formats (e.g., IFC)
• Experience working with point clouds, Gaussian splats, or other 3D data representations
• Understanding of web-based 3D rendering or visualization techniques
• Understanding of microservices or service-oriented architecture and best practices

in scalable service design Tech Stack:

• Frontend: React, TypeScript, Mapbox
• Backend: Node.js, REST APIs, microservices or service-based architecture
• Data: PostgreSQL, PostGIS
• Cloud & DevOps: Azure, Docker, Jenkins (nice to have), Kubernetes (nice to have)
• Tools: GitHub (GitHub Actions, and Codespace), Jira
• Strong ownership mindset and clear communication