Senior PDGS Fullstack Developer

At Creotech, we build cutting-edge software solutions for the Space & Earth Observation (EO) industry. We develop advanced system that processes, catalogs, and delivers satellite imagery and scientific payload data to commercial partners, research institutions, and international space agencies.

We are looking for a skilled and passionate Software Developer to join our Payload Data Ground Segment Engineering team. In this role, you will be responsible for developing our Payload Data Ground System (PDGS) and our modern User Access Service (UAS) platform. Our team is small and engineers are able to make real decisions.

About the role

As a Software Developer in our team, you will operate at the intersection of high-performance backend pipelines and geospatial web delivery systems.

You will design automated ingestion & processing workflows for satellite payload streams and construct high-availability APIs (STAC/REST) that allow users to search, filter, and stream earth observation assets seamlessly.

. Design, develop, and maintain innovative software solutions for satellite payload data ordering, reception, processing, archiving and distribution, Contribute to system development process across the full lifecycle, Design and prototype automated workflows for processing of raw payload data into standarized EO products (GeoTIFF, COG), Design APIs and service communication using REST and Message Queues., Write clean, efficient, well-documented and testable code., Manage software engineering fundamentals, including documentation, version control, and team collaboration., Identify and resolve bugs and issues, Deploy and monitor developed systems. Minimum of 5 years of professional software development experience within microservices architecture and frontend development, Expert in Python and JavaScript/TypeScript, Bachelor's degree in Computer Science or a related field or equivalent experience, Proven experience in web apps (Angular, React or similar) development, Strong knowledge of SQL, NoSQL databased (e.g. PostgreSQL, MongoDB), Hands-on experience with Docker, Kubernetes, S3 objects storage (e.g. AWS S3, MinIO), Experienced with GIT and CI/CD pipelines (GitLab CI), Self-driven and capable of working independently in a full remote team environment, Solid software engineering fundamentals: clean code, unit testing, git workflows, CICD automation, Comfortable working in a Linux environment, Knowledge and/or experience in space sector projects related with satellite data processing performed for example for ESA. Knowledge of PDGS terminology and standards e.g. image quality., 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 (e.g., Terraform, Ansible), Knowledge of web mapping libraries (CesiumJS, OpenLayers, Leaflet, Mappbox GL), Experience with automated testing frameworks and tools (e.g., Selenium, Cypress)