GalaxEye

<html><body>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.<\/p><h3>Key Responsibilities<\/b> <\/h3></h3>Data Pipeline Development x26amp; Engineering:<\/b> <\/p><ul><li>Design and develop scalable, high-performance geospatial ETL/ELT pipelines for SAR, MSI, and SyncFused sensor data. <\/p><\/li></li><li>Automate ingestion, pre-processing, orthorectification, calibration, and final product generation for large remote sensing datasets. <\/p><\/li></li><li>Write reusable, high-quality software libraries in Python or relevant languages supporting data product standards. <\/p><\/li><\/ul>Cloud Infrastructure x26amp; DevOps:<\/b> <\/p><ul><li>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). <\/p><\/li></li><li>Implement and maintain CI/CD pipelines for secure, continuous software deployment. <\/p><\/li></li><li>Optimize cloud resource use for cost-efficiency and high-throughput geospatial processing. <\/p><\/li><\/ul>Full Stack Development x26amp; API:<\/b> <\/p><ul><li>Design and build APIs and web services to provide internal and external access to processed data and analytics. <\/p><\/li></li><li>Contribute to front-end or web-GIS applications for visualization, monitoring, and user interaction. <\/p><\/li><\/ul>Standards and Quality Assurance:<\/b> <\/p><ul><li>Ensure all data products comply with industry standards (CEOS, ISO) and client requirements. <\/p><\/li></li><li>Implement data quality assessment and validation at pipeline stages, focusing on sensor-specific calibration. <\/p><\/li></li><li>Maintain comprehensive technical documentation for software, pipelines, and products. <\/p><\/li><\/ul><div> <\/div><\/span> <h3>Requirements<\/h3><ul><li>Minimum 2+ years’ experience in Full Stack Software Engineering, Data Engineering, or related roles with a focus on geospatial or remote sensing data. <\/p><\/li></li><li>Strong proficiency in Python and geospatial libraries (GDAL, Rasterio, GeoPandas, Shapely). <\/p><\/li></li><li>Understanding of GIS concepts, map projections, coordinate reference systems (CRS), and spatial analysis is a plus. <\/p><\/li></li><li>Experience in designing scalable data processing solutions on cloud platforms (AWS, Azure, GCP). <\/p><\/li></li><li>Familiarity with containerization tools (Docker) and orchestration (Kubernetes). <\/p><\/li></li><li>Proficiency with spatial databases like PostgreSQL/PostGIS. <\/p><\/li></li><li>Strong problem-solving, analytical, and communication skills. <\/p><\/li></li><li>Ability to work effectively in Agile/Scrum teams and collaborate across functions.<\/p><\/li><\/ul><h3>Nice-to-Have Skills<\/b> <\/h3><ul><li>Experience with SAR and MSI data processing algorithms and formats. <\/p><\/li></li><li>Familiarity with cloud-native geospatial formats like Cloud-Optimized GeoTIFF (COG), STAC. <\/p><\/li></li><li>Experience deploying ML/DL models for geospatial analysis and feature extraction. <\/p><\/li></li><li>Knowledge of infrastructure-as-code tools (Terraform, CloudFormation). <\/p><\/li><\/ul><div> <\/div><\/span> <h3>Benefits<\/h3></h3><li>Competitive salary and performance bonuses <\/p><\/li></li><li>Health insurance and wellness programs <\/p><\/li></li><li>Flexible work arrangements <\/p><\/li></li><li>Opportunity to work on cutting-edge Earth Observation technologies <\/p><\/li></li><li>Collaborative and innovative work environment <\/p><\/li><div> <\/div><\/span> </div></li></div></li></ul></h3></li></ul></h3></div></li></ul></li></ul></li></ul></li></ul></body></html>

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