Your space-enabled career begins here

GalaxEye Space pioneers Earth Observation by integrating Synthetic Aperture Radar (SAR), Multi-Spectral Imager (MSI), and proprietary SyncFused products (SAR + MSI fusion). We are seeking a motivated and skilled Senior Full Stack Geospatial Engineer to join our Data Operations team. This role focuses on transforming raw satellite data into high-quality, customer-ready products by designing, building, and maintaining end-to-end geospatial data processing pipelines deployed in cloud environments.

Key Responsibilities

Data Pipeline Development & Engineering:

• Design and develop scalable, high-performance geospatial ETL/ELT pipelines for SAR, MSI, and SyncFused sensor data.
  

• Automate ingestion, pre-processing, orthorectification, calibration, and final product generation for large remote sensing datasets.
  

• Write reusable, high-quality software libraries in Python or relevant languages supporting data product standards.
  

Cloud Infrastructure & DevOps:

• Deploy, manage, and monitor pipelines on cloud platforms such as AWS, Azure, or GCP using serverless, containerization (Docker/Kubernetes), and storage solutions (e.g., S3).
  

• Implement and maintain CI/CD pipelines for secure, continuous software deployment.
  

• Optimize cloud resource use for cost-efficiency and high-throughput geospatial processing.
  

Full Stack Development & API:

• Design and build APIs and web services to provide internal and external access to processed data and analytics.
  

• Contribute to front-end or web-GIS applications for visualization, monitoring, and user interaction.
  

Standards and Quality Assurance:

• Ensure all data products comply with industry standards (CEOS, ISO) and client requirements.
  

• Implement data quality assessment and validation at pipeline stages, focusing on sensor-specific calibration.
  

• Maintain comprehensive technical documentation for software, pipelines, and products.
  

Requirements

• Minimum 2+ years’ experience in Full Stack Software Engineering, Data Engineering, or related roles with a focus on geospatial or remote sensing data.
  

• Strong proficiency in Python and geospatial libraries (GDAL, Rasterio, GeoPandas, Shapely).
  

• Understanding of GIS concepts, map projections, coordinate reference systems (CRS), and spatial analysis is a plus.
  

• Experience in designing scalable data processing solutions on cloud platforms (AWS, Azure, GCP).
  

• Familiarity with containerization tools (Docker) and orchestration (Kubernetes).
  

• Proficiency with spatial databases like PostgreSQL/PostGIS.
  

• Strong problem-solving, analytical, and communication skills.
  

• Ability to work effectively in Agile/Scrum teams and collaborate across functions.

Nice-to-Have Skills

• Experience with SAR and MSI data processing algorithms and formats.
  

• Familiarity with cloud-native geospatial formats like Cloud-Optimized GeoTIFF (COG), STAC.
  

• Experience deploying ML/DL models for geospatial analysis and feature extraction.
  

• Knowledge of infrastructure-as-code tools (Terraform, CloudFormation).
  

Benefits