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.
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)
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