Full Stack Developer

GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED; Bengaluru Urban; On-site; INR 1,800,000 - 3,000,000; Full time

Job summary

GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED is seeking a skilled Full Stack Developer to design, build, and maintain interactive dashboards that integrate remote sensing data and AI analytics. You will work on web apps visualizing urban heating patterns and aquaculture mapping, with robust back-end systems for large geospatial datasets.

You will collaborate with data scientists to deploy AI models, ingest data from satellites and IoT sensors, and deliver responsive front-end visuals using React and

Qualifications

• Master’s degree in Computer Science, Geo informatics, or related field.
• 3–5 years of full-stack web development with data-heavy apps.
• Strong Python backend with Flask/Django/FastAPI and AI/ML integration.
• Experience with Node.js, Express.js and RESTful APIs.
• Frontend: React.js and data viz libraries (D3.js, Leaflet, Mapbox GL, Deck.gl).
• Spatial databases and cloud services (PostGIS, MongoDB, AWS/Azure/GCP).
• Familiarity with remote sensing data and GIS analytics.
• Experience with MQTT, WebSockets for real-time data.

Responsibilities

• Develop and maintain scalable web-based applications and dashboards for visualizing 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.
• Integrate remote sensing products, AI results, and spatial layers with the application in collaboration with data scientists.
• Implement APIs for data ingestion, processing, and delivery from satellites, IoT sensors, and weather systems.
• Ensure responsive front-end design with visualizations of heat maps, time-series graphs, and spatial analytics.
• Optimize performance, security, and scalability in cloud or hybrid environments.
• Work with GIS team and contribute to documentation, version control, and CI/CD pipelines.

Skills

Python

Flask

Django

FastAPI

Node.js

Express.js

RESTful APIs

React.js

Data visualization

D3.js

Leaflet

Mapbox GL

Deck.gl

PostGIS

MongoDB

AWS

Azure

GCP

Geospatial data

MQTT

WebSockets

ETL

Remote sensing

AI/ML deployment

Education

Master’s degree in Computer Science / Geo informatics / Geospatial Data Science

Job description

GALAXEYE SPACE SOLUTIONS PRIVATE LIMITED | Full time

Full Stack Developer

Banglorenorth, India | Posted on 07/23/2026

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)