PDGS Fullstack Developer (Regular)

Quick Facts

• Software Developer for Payload Data Ground Segment Engineering
• Focus: Payload Data Ground System (PDGS) and User Access Service (UAS)
• Work area: backend pipelines + geospatial web delivery

Description

Develop automated ingestion and processing workflows for satellite payload streams and build high-availability APIs (STAC/REST) for searching, filtering, and streaming Earth observation assets. Create software solutions for satellite payload data ordering, reception, processing, archiving, and distribution, covering the full lifecycle from design and prototyping to development and maintenance.

Responsibilities

• Work on innovative software solutions for satellite payload data ordering, reception, processing, archiving and distribution
• Contribute to system development process across the full lifecycle (design, prototyping, developing, maintaining)
• Implement automated workflows for processing of raw payload data into standardized EO products (GeoTIFF, COG)
• 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

Requirements

• 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, NoSQL databased (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 objects storage (e.g., 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: 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: 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