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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - **Company:** International Energy Agency - **Location:** Paris, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Geographic Information Systems, Artificial Intelligence, Airflow, Algorithm Design, Amazon Web Services, Amazon S3, Microsoft Azure, Cloud Engineering, Continuous Integration, Relational Databases, Programming Tools, Python (Programming Language), Machine Learning, MySQL, Open Source Technology, Software Architecture, Software Deployment, Software Engineering, Google Cloud, AWS Lambda, Kubernetes, Information Technology, Geospatial Data Abstraction Library (GDAL), Amazon Simple Queue Service (SQS), Software Version Control, Data Pipelines, Docker - **Published:** July 12, 2026 - **Apply:** https://fr.indeed.com/viewjob?jk=500540f20be698fb ## About the Role * Master degree in Engineering, Computer Science or equivalent * Significant experience in Software Engineering * Experienced Python engineer. * Knowledge of software architecture. * Familiar with AI-driven development tools. * Knowledge of Kubernetes and Docker and at least one public cloud provider (AWS, GCP, Azure) and its managed services (S3, SQS, Lambdas, etc.). * Knowledge in RDBMS (PostgreSAL, MySQL, etc.) and schema design Knowledge of one popular workflow scheduler and/or orchestrator (Argo, Airflow, Keda, etc.). Leadership, rigor, autonomy and proactivity. Excellent project management and organizational skills. Speak and write fluent English to communicate with our international teams. Appreciated skills: Familiar with the geospatial open source ecosystem (GDAL, rasterio, proj, etc.). Familiar with new data formats (geoparquet, cloud optmized geotiff, etc.). Familiar with cloud architecture (resilience, error management, etc.). Please apply with CV written in English ## Description * Develop data processing pipelines, from design to deployment and maintenance * Ensure best practices regarding testing, version control, CI/CD, operations, observability, etc. * Collaborate with remote sensing researchers, geospatial and machine learning engineers and product stakeholders. In particular: * Design, implement and operate large-scale imagery and data pipeline on Kubernetes * Develop internal shared libraries to ease the creation and maintenance of data pipelines, * Evaluate architecture trade-off with respect to maintenance, cost, scalability and robustness. * Fasten development cycles and professionalize development with modern tooling and AI. You will have a transverse role in the development of EA/Kayrros technologies, from domain specific algorithm design to production deployment and operations. You will work with the full range of data sources used at EA/Kayrros (optical, SAR, hyper-spectral). As an example, the Team has already developed pipelines regarding wildfire monitoring, shale gas wells, methane plume detection, and many others!, This is an ideal opportunity if you are looking for a new challenge in a high impact position, ensuring the on-time, high-quality delivery of geospatial data to our customers. 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