Full Stack Developer - Satellite Intelligence Solutions

About GalaxEye

GalaxEye is at the forefront of satellite technology innovation, transforming how intelligence is extracted from satellite imagery. We’re building cutting-edge solutions that deliver actionable insights from space-based data.

Position Overview

We are seeking an exceptional Full Stack Developer to productize our cutting-edge satellite intelligence technologies and create exceptional products that deliver intelligence from satellite images. This role combines technical excellence with client-facing responsibilities in secure, air-gapped environments.

Key Responsibilities

Deploy products and solutions in air-gapped systems on client premises

Design robust frontend and backend system architectures for client-side deployment

Manage CI / CD processes in air-gapped environments to ensure seamless product upgrades and integration

Manage Product Customisations based on specific client requirements

Set up and manage data pipelines to create comprehensive test datasets for continuous product validation

Conduct continuous testing of products on client data and maintain detailed QR (Quality Report) documentation

Establish effective feedback loops with the Bangalore development team to share QR benchmarks on test datasets

Fine-tune AI models on client data (when applicable)

Drive continuous improvement through proactive problem-solving and initiative-taking

Core Competencies

Entrepreneurial Mindset : Hustling attitude, proactive approach, and capability to take independent initiatives

Communication : Excellent verbal and written communication skills with a disciplined work ethic

Technical Experience : 3+ years of hands-on experience developing Full Stack Applications using Python (FastAPI / Django), React JS, Docker & Kubernetes, Apache Airflow / Argo workflows

Strong grasp of Data Structures & Algorithms (DSA) and Object-Oriented Programming (OOP) concepts

Good understanding of system design principles

Experience with deployment in secure and restricted environments

Preferred Qualifications (Bonus Points)

Experience building applications with geospatial data

Background in training and optimising machine learning models

Previous work in satellite technology or remote sensing domains

Experience with air-gapped system deployments

What We Offer

Opportunity to work with cutting-edge satellite intelligence technology

Direct impact on product development and client success

Collaborative work environment with opportunities for continuous learning and growth

Chance to work on challenging technical problems in the space technology sector