Full Stack Developer (React/NodeJS)
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)
- Model and query geospatial data using PostgreSQL and PostGIS
- Develop interactive map and visualization experiences using Mapbox or equivalent
- Work with cloud native infrastructure on Azure, deploying containerized services
- Focus on optimizing map load times and ensuring performant, responsive user
- 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
- 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
- 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
- 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
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