Software Engineer – GIS & Remote Sensing

Location: Kochi / Bengaluru

Employment Type: Full-Time

About the Role

We are seeking a hands-on Software Engineer with strong GIS, Remote Sensing, and spatial analytics expertise. The role focuses on geospatial software development, satellite data processing, and applying large-scale analytics to real-world sustainability and decision-support challenges.

Key Responsibilities

GIS & Spatial Analytics

* Perform spatial analysis using GIS, remote sensing, and satellite imagery.

* Process, clean, and validate raster, vector, and time-series geospatial datasets.

* Build automated pipelines for mapping, data visualization, and geospatial dashboards.

Satellite + Remote Sensing Workflows

* Handle multispectral and hyperspectral datasets (Sentinel, Landsat, commercial imagery, UAV/drone data where applicable).

* Develop scripts for data ingestion, clipping, resampling, mosaicking, and feature extraction.

* Work on classification, change detection, feature engineering, and spectral analytics.

Software Engineering

* Develop modular and scalable Python-based tools and services.

* Work with APIs, cloud compute, distributed processing, and edge environments.

* Manage large datasets using efficient storage, caching, and data streaming approaches.

Collaboration & Delivery

* Work with consulting, engineering, and analytics teams to deliver projects.

* Support PoCs, demo preparation, and client solution deployment.

* Maintain clear documentation for workflows, results, and integration steps.

Required Skills & Qualifications

* Bachelor's/Master's in GIS, Geoinformatics, Remote Sensing, Earth/Environmental Sciences, or Computer Science.

* 2–4 years of experience in GIS/Remote Sensing/Data Engineering roles.

* Hands-on experience with Sentinel, Landsat, and Hyperspectral imagery.

* Strong proficiency in Python (Pandas, NumPy, rasterio, geopandas, shapely).

* Knowledge of GIS tools: QGIS, ArcGIS, GDAL, PostGIS.

* Experience with projections, raster/vector processing, map tiling.

* Familiarity with cloud platforms (AWS/Azure/GCP) and containerization (Docker).

* Excellent communication, documentation, and debugging skills.

Desirable Extras

* Knowledge of ML/AI for geospatial applications.

* Familiarity with OSM data, WMS/WFS services, and routing engines.

* Awareness of edge compute devices and hardware-limited processing.

What We Offer

* Competitive salary.

* Exposure to high-impact geospatial and sustainability projects.

* Professional mentoring and multi-domain learning.

* Potential career advancement into Senior GIS Engineer, Data Scientist, or Tech Lead roles.