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# Full-stack Software Engineer

- **Company:** Raidium
- **Location:** France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** JavaScript (Programming Language), Amazon Web Services, Microsoft Azure, Computer Clusters, Software Quality, Nvidia CUDA, Databases, Dicom, Python (Programming Language), Machine Learning, Google Cloud, ReactJS, Deep Learning, Parallel Computation, Fastapi, Containerization, Information Technology, Code Inspection, Machine Learning Operations, Docker, Programming Languages
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-full-stack-software-engineer-raidium-company-8369057

## About the Role

* Master's degree in Computer Science, Engineering, or a related field.
 * Proficient in full-stack development, with experience in modern programming languages (e.g., Python, JavaScript), frameworks (e.g., FastAPI, React) and databases systems.
 * Willingness to work in the healthcare industry
 * Authorization to work in France
 * Fluency in English, with excellent communication and teamwork skills
 * Willing to come to the office (2 days remote policy)
Pluses

 * Experience in an agile work environment
 * Knowledge of machine learning concepts and experience integrating ML models
 * Experience with containerization and orchestration tools such as Docker and Kubernetes
 * Experience with cloud providers (GCP, AWS, Azure)
 * Knowledge of model serving technologies (ex: ray, CUDA)) and parallelization on GPU clusters
 * Experience with Radiological images (DICOM, nifti)

## Description

As a Full-stack Software engineer at Raidium, play a pivotal role in developing the Raidium product and integrating Machine Learning models.

 * Design, implement, and maintain both front-end and back-end components of Raidium product, involving serving ML models and manipulating radiological images
 * Collaborate with ML Engineers to integrate advanced ML/Deep Learning models into the platform, ensuring the system is highly accurate and efficient.
 * Build the infrastructure and pipelines to support rapid growth in users and data volume without compromising performance.
 * Enforce the best practices to ensure code quality and system soundness: automatic testing, linting, typing…

You will work with the R&D team, composed of Software engineers and ML Engineers and you will be managed by Alexandre Blondin, our Lead Software Engineer.


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