Deployment & Support Engineer

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

• 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 the 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.

Qualifications

• Strong experience with the Linux/Unix command‑line is mandatory – we use it every day.
• At least 3‑4 years of experience in technical support – Levels 1 (front‑line in 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).
• Expertise 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.

Interview Process

• Screening interview with the manager Gaétan (30 min, remote)
• In‑depth interview with the manager and one team member (2 hours)
• Meet the team and founders (2½ hours, at the office)