Physical and financial systems are under growing pressure from a changing planet. Neural Earth fuses geospatial intelligence and AI to help organizations understand how environmental, social, and economic factors intersect across space and time. By transforming massive geospatial datasets into clear, actionable insight, Neural Earth enables decision-makers to anticipate risk, strengthen resilience, and plan with confidence—from individual properties to global portfolios.

We are looking for a Full Stack Geospatial Engineer to help build the next generation of our platform. You will work across the stack to create powerful, responsive web applications that connect users to real-time risk data, 3D visualizations, and AI-assisted analysis. From APIs and map rendering pipelines to front-end workflows in Studio, your work will bring together data, interactivity, and design in one seamless experience.

This is a hands-on role for an engineer who thrives at the intersection of data and design. You will collaborate closely with our product, design, and AI teams to turn complex spatial data into clear, dynamic tools that reveal patterns, predict impact, and help users act with confidence.

• Develop and maintain responsive web applications that integrate geospatial data and mapping functionality using modern web and mobile technologies.
• Design and implement user interfaces with a focus on geospatial visualizations using HTML, CSS, JavaScript, and geospatial libraries (e.g., Leaflet, OpenLayers, Mapbox, Cesium, Deck.gl, Kepler.gl, D3.js).
• Write clean, efficient, and well-documented code to process and visualize geospatial data.
• Collaborate with product managers, data scientists, and designers to translate design mockups and user stories into functional applications.
• Implement backend logic, Restful APIs, data processing, and geospatial database integration using server-side languages and frameworks.
• Optimize application performance for scalability, responsiveness, and geospatial data processing efficiency.
• Conduct code reviews and provide constructive feedback to team members.

• Bachelor’s degree in Computer Science, Geospatial Sciences, Environmental Sciences, Engineering, Data Journalism, or a related field (or equivalent work experience).
• 3+ years of experience as a Full Stack Developer, with at least 1 year of experience working with geospatial data and technologies.
• Proficiency in front-end technologies such as HTML5, CSS3, JavaScript, and frameworks/libraries (e.g., React.js, Vue.js, Nuxt.js).
• Experience with geospatial databases such as Posgresql/postgis, Supabase, Mongodb
• Experience with geospatial JavaScript libraries and APIs (e.g., Leaflet, OpenLayers, Mapbox, Cesium).
• Experience with server-side languages and frameworks (e.g., Node.js, Python, Django, Flask, FastAPI) and geospatial back-end solutions (e.g., PostGIS, GeoServer).
• Strong understanding of relational and non-relational databases, including geospatial database management.
• Familiarity with version control systems (e.g., Git) and CI/CD pipelines.
• Excellent problem-solving and communication skills.
• Ability to work independently and collaboratively in a fast-paced environment.

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for geospatial data processing and storage.
• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).
• Understanding of microservices architecture and geospatial data services.
• Contributions to open-source geospatial projects or personal projects showcased on GitHub a big plus.

• Up to 15%