The Role
Develop and maintain scalable full-stack web applications, dashboards, APIs, and decision-support systems integrating geospatial data, AI/ML outputs, remote sensing products, and real-time data. Build backend services, responsive mapping interfaces, ETL workflows, and data-processing pipelines. Collaborate with software, GIS, data science, and remote sensing teams while supporting cloud deployments, testing, CI/CD, documentation, system architecture, performance, security, and scalability.
Summary Generated by Built In
We are seeking a highly skilled Full Stack Developer to design, develop, and maintain scalable web applications, platforms, dashboards, and decision-support systems that integrate geospatial data, AI-driven analytics, and real-time data sources.
The role involves working closely with software, GIS, data science, and remote sensing teams to build data-intensive applications and enable the visualization, processing, and delivery of complex spatial and analytical datasets.
Key Responsibilities:
- Develop and maintain scalable web applications, platforms, dashboards, and decision-support systems for data-driven applications.
- Design and develop robust backend systems for managing large geospatial datasets, analytical outputs, and real-time data streams.
- Work with data scientists, image analysts, and GIS teams to integrate remote sensing products, AI/ML outputs, and spatial datasets into web applications.
- Design and implement REST APIs for data ingestion, processing, integration, and data delivery from multiple sources.
- Develop responsive and intuitive front-end interfaces for visualizing maps, spatial layers, time-series data, analytical outputs, and interactive visualizations.
- Implement efficient handling and visualization of raster, vector, and other geospatial data formats.
- Optimize application performance, reliability, security, and scalability across cloud or hybrid environments.
- Design and support ETL and data-processing workflows for integrating heterogeneous data sources.
- Collaborate with cross-functional teams to translate analytical and business requirements into scalable technical solutions.
- Maintain technical documentation, version-controlled codebases, testing workflows, and CI/CD pipelines.
- Contribute to system architecture, technology selection, deployment strategies, and continuous improvement of the platform.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering, Geo informatics, Geospatial Data Science, or a related field.
- 3+ years of experience in full-stack web development, preferably involving data-intensive or analytical applications.
- Strong proficiency in modern front-end technologies such as React, Vue.js, or Angular.
- Experience with data visualization and web mapping libraries such as D3.js, Leaflet, Map box GL, OpenLayers, or Deck.gl.
- Strong backend development experience using Node.js, Python (Flask/FastAPI/Django), Java, or equivalent technologies.
- Strong understanding of RESTful API design, database architecture, and data integration.
- Experience with relational and/or spatial databases such as PostgreSQL/PostGIS, MongoDB, or equivalent.
- Experience working with cloud platforms such as AWS, Azure, or GCP.
- Understanding of geospatial data structures and processing, including raster and vector data.
- Familiarity with integrating AI/ML models and analytical pipelines into production applications.
- Experience with real-time data integration technologies such as WebSockets, MQTT, or equivalent is an advantage.
- Familiarity with ETL/data engineering workflows, Docker, CI/CD, and version-control systems.
- Strong problem-solving, system-design, and cross-functional collaboration skills.
Preferred Experience
- Experience developing geospatial or data-intensive platforms.
- Experience working with large-scale spatial datasets and geospatial APIs.
- Understanding of remote sensing and Earth Observation data is an advantage.
- Experience deploying AI/ML or data-processing workflows through APIs or cloud infrastructure.
- Exposure to scalable system architecture and distributed data-processing workflows.
Skills Required
- Bachelor's or Master's degree in Computer Science, Software Engineering, Geoinformatics, Geospatial Data Science, or a related field
- 3+ years of experience in full-stack web development
- Proficiency with modern front-end technologies such as React, Vue.js, or Angular
- Experience with data visualization and web mapping libraries such as D3.js, Leaflet, Mapbox GL, OpenLayers, or Deck.gl
- Backend development experience using Node.js, Python, Flask, FastAPI, Django, Java, or equivalent technologies
- Understanding of RESTful API design, database architecture, and data integration
- Experience with relational or spatial databases such as PostgreSQL/PostGIS, MongoDB, or equivalent
- Experience with cloud platforms such as AWS, Azure, or GCP
- Understanding of geospatial data structures and processing, including raster and vector data
- Familiarity with integrating AI/ML models and analytical pipelines into production applications
- Experience with real-time data integration technologies such as WebSockets or MQTT
- Familiarity with ETL/data engineering workflows, Docker, CI/CD, and version-control systems
- Strong problem-solving, system-design, and cross-functional collaboration skills
- Experience developing geospatial or data-intensive platforms
- Experience working with large-scale spatial datasets and geospatial APIs
- Understanding of remote sensing and Earth Observation data
- Experience deploying AI/ML or data-processing workflows through APIs or cloud infrastructure
- Exposure to scalable system architecture and distributed data-processing workflows
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The Company
What We Do
GalaxEye is an Indian space-tech startup developing advanced Earth-observation technologies. Its flagship Drishti Mission uses a multisensor imaging satellite combining optical and Synthetic Aperture Radar data to produce high-resolution imagery, including through cloud cover and at night. The company applies artificial intelligence, computer vision, and geospatial analysis to support governments, defense organizations, and industries with actionable insights.
