DevOps Engineer - AI Medical Imaging Infrastructure

Talanto; Netherlands; Hybrid; EUR 43,000 - 72,000; Full time

Benefits offered by this job

8% pension contributions

Commuting allowance

Company laptop

Hybrid work (60% on site)

Job summary

Talanto is seeking a DevOps Engineer to support AI medical imaging infrastructure in a hybrid environment in the Netherlands. You will manage on-prem and AWS cloud infra, drive the transition to Kubernetes, and support AI training environments within office hours.

You will work with infra developers and dev teams, apply Terraform and Ansible IaC, maintain Linux servers, monitor incidents, and uphold security given medical data.

Qualifications

• Bachelor's degree required.
• Experience with Kubernetes and AWS.
• Experience with Infrastructure as Code (Terraform and Ansible).
• Knowledge of Linux environments.
• Fluent English.

Responsibilities

• Manage and further develop both the on-premise and cloud (AWS) infrastructure.
• Actively contribute to the transition to, and management of, in-house Kubernetes clusters.
• Maintain the Linux-based server environments, including the AI training infrastructure.
• Monitor environments and ensure fast response to incidents.
• Apply Infrastructure as Code (Terraform and Ansible).
• Work closely with infra developers and various development teams.
• Uphold a high standard of security, given the sensitivity of medical and patient data.

Skills

Kubernetes

AWS

Infrastructure as Code

Linux administration

English fluency

Education

Bachelor's degree

Tools

Terraform

Ansible

Job description

DevOps Engineer - AI Medical Imaging Infrastructure

Full time · NETHERLANDS

Important: if an employer asks you to log into their system via iCloud or Google, send a code, an SMS or Telegram password, run some code, or install software — refuse. These are signs of fraud.

Want to use your technical skills to help build software that genuinely makes a difference for patients worldwide? We're looking for a DevOps Engineer to join a fast-growing scale-up specialized in AI-driven medical imaging analysis.

The role

As a DevOps Engineer, you'll help advance and manage the infrastructure underpinning the organization's AI models and software. You'll work in a hybrid environment of on-premise infrastructure and the cloud (AWS), and play an active role in the ongoing transition to a Kubernetes environment. Besides the production environment, you'll also manage the infrastructure used by AI engineers to train their models. Monitoring and quickly responding to incidents is part of the role, without any on-call obligation; this stays within office hours.

What you'll do

• Manage and further develop both the on-premise and cloud (AWS) infrastructure
• Actively contribute to the transition to, and management of, in-house Kubernetes clusters
• Maintain the Linux-based server environments, including the AI training infrastructure
• Monitor environments and ensure fast response to incidents
• Apply Infrastructure as Code (preferably using Terraform and Ansible)
• Work closely with fellow infra developers and various development teams
• Uphold a high standard of security, given the sensitivity of medical and patient data

Who you are

• Bachelor's degree level (must)
• Experience with Kubernetes and AWS (or another cloud environment)
• Experience with Infrastructure as Code, preferably Terraform and Ansible
• Knowledge of and experience managing Linux environments
• Fluent English, as this is the team's daily working language

About the organization

You'll join an international scale-up (50+ employees) that started as a spin-off from a leading Dutch university. The organization develops AI-driven software for the quantitative analysis of medical imaging, with a focus on lung conditions. The technology is used worldwide by hospitals and in clinical trials within the pharmaceutical industry, and is fully certified according to relevant medical standards. You'll be part of a small, close-knit DevOps team and work closely with various development teams, including a team focused on AI/deep learning.

Employment conditions

• Salary up to €6,000 gross per month
• 8% pension contribution, membership fully covered by the employer
• Commuting allowance (public transport or car, up to 50-75 km one-way), parking costs reimbursed
• Company laptop
• 60% of time working on site, hybrid otherwise