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Remote, mid-level, metro locations and generalist software title increase applicant density despite geospatial niche.
Geospatial and environmental domain needs reduce transferability, while core web development skills remain transferable.
Explicit 2–4 year requirement plus required JavaScript/Python and geospatial skills enforce moderate filtering.
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Develop and maintain full-stack web applications and geospatial tools using JavaScript (React/Vue.js), Python/Node.js, and open-source mapping libraries including Maplibre GL, OpenLayers, Leaflet, and Deck.gl.
Build geospatial data pipelines, RESTful APIs, and deploy applications on cloud platforms (AWS/GCP) using containerisation such as Docker.
Integrate AI/ML tools and support research workflows, collaborate in agile teams, and contribute to open-source projects relevant to environmental and geospatial domains.
Bachelor's degree in Computer Science, Software Engineering, Geoinformatics, or related technical field.
2–4 years of professional software engineering experience including internships and academic projects.
Proficiency in JavaScript (React or Vue.js) and Python, with working knowledge of geospatial tools (PostGIS, GDAL, GeoJSON) and RESTful API development.
Location: Mumbai, New Delhi, Bangalore, or Remote; Exposure to version control (Git/GitHub) and cloud platforms (AWS/GCP) required; Notice period: Not explicitly mentioned.
Experienced in full-stack development with strong geospatial technology skills and comfort working with spatial data pipelines and visualization.
Familiar with modern agile software development practices, code versioning, testing, and documentation.
Demonstrates interest or experience integrating AI/ML tools with geospatial applications relevant to environmental or public policy challenges.