PDGS Fullstack Developer (Regular)

Quick Facts

• Software Developer for Payload Data Ground Segment Engineering team
• Develop Payload Data Ground System (PDGS) and User Access Service (UAS)
• Intersection of high-performance backend pipelines and geospatial web delivery systems

Description

Work on innovative software solutions for satellite payload data ordering, reception, processing, archiving and distribution. Design automated ingestion & processing workflows for satellite payload streams and construct high-availability APIs (STAC/REST) enabling users to search, filter, and stream Earth observation assets. Build standardized EO products from raw payload data such as GeoTIFF and COG.

Responsibilities

• Develop software for satellite payload data ordering, reception, processing, archiving and distribution
• Contribute across the full lifecycle (design, prototyping, developing, maintaining)
• Implement automated workflows for processing raw payload data into standardized EO products (GeoTIFF, COG)
• Write clean, efficient, well-documented and testable code
• Manage software engineering fundamentals: documentation, version control, team collaboration
• Identify and resolve bugs and issues
• Deploy and monitor developed systems

Requirements (fundamental)

• Minimum of 2 year of professional software development experience in Python or/and JavaScript, TypeScript, Java
• Bachelor’s degree in Computer Science or a related field or equivalent experience
• Proven experience in web apps (Angular, React or similar) development
• Knowledge of SQL and NoSQL databases (e.g. PostgreSQL, MongoDB)
• Experienced with GIT and CI/CD pipelines (GitLab CI)
• Self-driven and capable of working independently in a full remote team environment
• Knowledge about clean code, unit testing, git workflows, CICD automation
• Comfortable working or ability to learn a Linux environment

Nice to Have

• Knowledge and/or experience in space sector projects related with satellite data processing (e.g., ESA)
• Knowledge of PDGS terminology and standards (e.g., image quality)
• Hands-on experience with Docker, Kubernetes, S3 object storage (AWS S3, MinIO)
• Familiarity with EO standards and formats: STAC specification, GeoTIFF, COG, GeoJSON
• Experience with Geospatial tooling: PySTAC, GDAL, Rasterio, Shapely, NumPy
• Experience with workflow engines (e.g., Apache Airflow, Prefect, Argo Workflows)
• Knowledge of cloud platforms such as AWS, Azure, or GCP
• Familiarity with DevOps practices and infrastructure as code (Terraform, Ansible)
• Knowledge of web mapping libraries (CesiumJS, OpenLayers, Leaflet, Mapbox GL)
• Experience with automated testing frameworks and tools (Selenium, Cypress)

Benefits

• Work in a friendly, well-coordinated team of enthusiasts
• Stable employment in a modern company with an established market position
• Attractive salary and benefits package (e.g., private medical care, sports card)
• Opportunities for professional development and participation in innovative projects