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Job Description & How to Apply Below
Full Stack GIS Developer
Location :
Pune
Company : GISKernel
Experience : 2–6+ Years
Employment Type :
Full-Time
About GISKernel
GISKernel is a geospatial technology company based in Pune, delivering custom GIS solutions globally since 2018. We specialize in building scalable WebGIS platforms using ESRI and open-source technologies, cloud-native architectures, and GeoAI pipelines. Our projects span smart cities, disaster management, utilities, agriculture, and enterprise spatial analytics across 25+ countries.
Role Overview
We are looking for a passionate
* Full Stack GIS Developer
* who can design, build, and deploy modern geospatial applications using either
* ESRI stack or Open Source GIS technologies*. You will work on end-to-end application development including frontend, backend, spatial databases, APIs, and cloud deployments.
Key Responsibilities
• Develop interactive WebGIS applications using Open Layers / Leaflet / Mapbox or ESRI JS API
• Build backend services using Python (Django/FastAPI) or Node.js
• Design and optimize spatial databases (Postgre
SQL/PostGIS, SQL Server Spatial)
• Integrate OGC services (WMS, WFS, WMTS) and REST APIs
• Configure and manage Geo Server / Map Server or ArcGIS Server
• Implement spatial analysis workflows using GDAL, Rasterio, Shapely, etc.
• Build scalable cloud deployments using Docker, CI/CD, and Kubernetes
• Work closely with UI/UX, data engineering, and domain teams
• Optimize performance for large spatial datasets and map rendering
• Maintain documentation and coding standards
Required Skills
GIS & Mapping
• Strong understanding of GIS concepts, projections, spatial analysis
•
Experience with Open Layers / Leaflet / ESRI JavaScript API
• Working knowledge of Geo Server / ArcGIS Server
Backend & Databases
• Python (Django/FastAPI) or Node.js
• Postgre
SQL/PostGIS or equivalent spatial DB
• REST API design
Frontend
• JavaScript, React / Vue / Angular
• HTML5, CSS3
Good to Have
• ESRI Enterprise stack experience (Portal, ArcGIS Online, Arc Py)
• Cloud-native GIS architectures
• Raster processing and satellite data handling
• GeoAI / ML exposure
• CI/CD pipelines
• Kubernetes
What We Offer
• Opportunity to work on international GIS projects
• Exposure to cutting-edge GeoAI and cloud GIS
• Fast learning environment and ownership
• Competitive salary based on skills
• Flexible culture and growth path
Mediclaim
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