The Role
Develop and maintain full-stack web applications, dashboards, APIs, and backend systems for geospatial, remote sensing, AI analytics, and real-time environmental data. Integrate satellite, IoT, weather, GIS, and AI/ML outputs; build responsive visualizations and mapping interfaces; manage spatial databases; and optimize application security, scalability, and performance in cloud or hybrid environments. Collaborate with data scientists, image analysts, and GIS teams while contributing to documentation, version control, and continuous integration.
Summary Generated by Built In
Job Description for Full Stack Developer
We are seeking a highly skilled Full Stack Developer to design, build, and maintain interactive DSS, platforms and dashboards that integrates remote sensing data, AI-driven analytics, and real-time environmental monitoring.
Key Responsibilities:
- Develop and maintain scalable web-based applications and dashboards to visualize urban heating patterns, aquaculture mapping and real-time analytics.
- Design robust back-end systems to manage large geospatial datasets, real-time sensor feeds, and AI model outputs.
- Work with data scientists and image analysts to integrate remote sensing products, AI results, and spatial layers into the application.
- Implement APIs for data ingestion, processing, and delivery from various sources (e.g., satellites, IoT sensors, weather systems).
- Ensure responsive front-end design with intuitive visualizations of heat maps, time-series graphs, and spatial analytics.
- Optimize application performance, security, and scalability in cloud or hybrid environments.
- Collaborate with GIS team and contribute to technical documentation, version control, and continuous integration pipelines.
Requirements
- Master’s degree in Computer Science, Software Engineering, Geo informatics, Geospatial Data Science or related field.
- 3-5 years of experience in full-stack web development with proven experience in data-heavy applications.
- Strong proficiency in Python for back-end development and data processing (Flask, Django, or FastAPI); experience building services that integrate AI/ML outputs.
- Proven experience with Node.js, Express.js and RESTful API development for building backend services.
- Hands-on experience with front-end technologies (React.js) data visualization libraries and mapping frameworks such as D3.js, Leaflet, Mapbox GL, or Deck.gl.
- Experience working with spatial databases (PostGIS, MongoDB, etc.) and cloud services (AWS, Azure, GCP).
- Understanding of remote sensing data structures, raster/ vector handling, and integration of geospatial analytics.
- Familiarity with AI/ML model deployment and real-time data integration (e.g., MQTT, WebSockets).
- Familiarity with ETL based Workflows (Preferable)
Skills Required
- Master's degree in Computer Science, Software Engineering, Geoinformatics, Geospatial Data Science, or a related field
- 3-5 years of full-stack web development experience with data-heavy applications
- Strong proficiency in Python for backend development and data processing
- Experience with Flask, Django, or FastAPI
- Experience building services that integrate AI/ML outputs
- Experience with Node.js and Express.js
- Experience developing RESTful APIs
- Hands-on experience with React.js
- Experience with data visualization libraries and mapping frameworks such as D3.js, Leaflet, Mapbox GL, or Deck.gl
- Experience with spatial databases such as PostGIS or MongoDB
- Experience with cloud services such as AWS, Azure, or GCP
- Understanding of remote sensing data structures and raster/vector data handling
- Experience integrating geospatial analytics
- Familiarity with AI/ML model deployment
- Familiarity with real-time data integration, such as MQTT or WebSockets
- Familiarity with ETL-based 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.
