Deployment & Support Engineer

Overview

Following the expansion of its customer base, AZmed wishes to increase its resources for support and deployment. The mission encompasses the entire portfolio – internal products (Rayvolve Suite for X‑Rays, Rayscan Suite for CT‑scans) and external partner solutions – across all business units worldwide.

The position of Deployment & Support Engineer is full‑time, based in Paris, and part of the Product and Operations department.

Responsibilities and Qualifications

• Manage and resolve client technical support requests.
• Install new devices of AZmed’s products for new clients.
• Optimize client environments through configuration management and performance updates.
• Organize and deploy new releases and patches.
• Ensure the application of Quality System Management processes for client complaints in collaboration with the Quality team.
• Develop and maintain automation tools for Rayvolve installation in relation with the Dev, DevOps and AI teams.
• Collaborate with Account Management teams to convert deals from a free trial phase to a paying phase, and answer clients’ needs.
• Work closely with the Product team to gather and provide insights on client experiences and Rayvolve installations.
• Strong experience with the Linux/Unix command line is mandatory.
• At least 3‑4 years of experience in technical support – Levels 1 (frontline support of the business teams) and 2 (technical resolution).
• Experience in system administration and deployment of complex applications.
• Expertise in installing and maintaining secure Linux infrastructures, containerization, and orchestration (Docker, Kubernetes, Ansible).
• Experience deploying virtual machines and appliances (OVA), configuring networks (VPN, firewall, SSH), and automating tasks via Shell or Python scripting.
• Familiarity with IT security best practices and management of cloud and on‑premise infrastructures.
• Excellent communication skills in English, with the ability to collaborate effectively with multidisciplinary teams.
• Motivation to contribute to healthcare improvement through medical AI and radiology analysis solutions, and ideally experience in the medical and/or AI industries.