HiringCafe
Save Job
Posted 4w ago

Full Stack Developer

@ GalaxEye
View All Jobs
Bengaluru, Karnataka, India
OnsiteFull Time
Responsibilities:developing applications, designing backends, integrating data
Requirements Summary:Master's in related field, 3+ years full-stack experience; strong Python (Flask/Django/FastAPI), Node.js/Express, React, spatial DBs (PostGIS/MongoDB), cloud (AWS/Azure/GCP), mapping libraries, and AI/ML integration.
Technical Tools Mentioned:Python, Flask, Django, FastAPI, Node.js, Express.js, React.js, D3.js, Leaflet, Mapbox GL, Deck.gl, PostGIS, MongoDB, AWS, Azure, GCP, MQTT, WebSockets, RESTful API, ETL, AI/ML
Save
Mark Applied
Hide Job
Report & Hide
Job Description

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)