Senior GIS Full-Stack Developer
Summary
A Senior GIS Full-Stack Developer is responsible for developing geospatial applications, integrating spatial data and APIs, building RESTful APIs with spatial databases, and leveraging AI tools to automate workflows and accelerate development.
Job Title: Senior GIS Full-Stack Developer Experience Level: Minimum 3+ Years ; BS in Computer Science /Computer Engineering or Equivalent
Department: GIS Development Role Overview We are seeking a versatile GIS Full-Stack Developer to join our team. You will be responsible for the end-to-end development of geospatial applications, from architecting robust spatial databases to crafting intuitive, high-performance front-end interfaces.
A key differentiator for this role is the integration of Agentic AI. We aren't just looking for someone who uses ChatGPT; we want a developer who can leverage AI agents and advanced prompting to automate workflows, accelerate coding cycles, and build smarter spatial tools.
Key Responsibilities
• Full-Stack Development: Design, develop, and maintain web applications using modern JavaScript frameworks (Next.js, React, Vue, or Angular).
• Geospatial Implementation: Integrate spatial data APIs and libraries (ESRI ArcGIS for Enterprise APIs, ArcPy) into web environments.
• Server & Database Management: Build and optimize RESTful APIs and manage spatial databases like ESRI SDE on PostgreSQL or MS SQL.
• AI-Augmented Workflow: Utilize Agentic AI tools (e.g., GitHub Copilot, Cursor, or custom LLM agents) to expedite debugging, documentation, and feature prototyping.
• Spatial Analysis: Develop algorithms for complex spatial queries and data visualization.
Technical Requirements:
Front-End - Modern JavaScript (ES6+), React/Next.js, TypeScript, CSS3/Tailwind.
Back-End - Node.js, Python (FastAPI/Flask).
GIS Core - ArcGIS API, ArcGIS Enterprise, ArcGIS Pro, PostGIS, GeoServer, QGIS, and OGC Standards (WMS/WFS).
Mapping Libs - ArcGIS Javascript APIs, Mapbox GL JS, Leaflet, or OpenLayers.
AI Proficiency - Agentic AI workflows, Prompt Engineering for code generation, and AI driven automation.
DevOps/Tools - Docker, Git, CI/CD pipelines, and Cloud services (AWS/Azure).