Role Overview

Following the expansion of its customer base, AZmed wishes to increase its ressources 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 - over all business units (worldwide client base).

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

Responsibilities

Regarding operations:

• 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.

Regarding processes & collaborations

• 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.

• 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 (frontline 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.

• 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 (2h30 hours, at the office)