Software Engineer – Diagnostic Imaging Platform (Remote, Flexible)

Agfa-Gevaert; Österreich; Remote; EUR 50.000 - 61.000; Vollzeit

Benefits dieser Stelle

Flexible remote work

ShipIt days

Conference access

Free coffee/tea/fruits

Table soccer & darts

Zusammenfassung

Agfa-Gevaert in Wien is seeking an experienced Software Engineer for our Diagnostic Imaging Platform (m/f/d). You will contribute to an image-based diagnosis platform running as desktop and web apps, joining one of several SCRUM teams of about 50 engineers.

You will work on high-end enterprise imaging, build reusable cloud components, participate in system design, and develop automated tests. Knowledge of Kubernetes and AI-enabled development is a plus; remote-friendly with flexible working

Qualifikationen

• Bachelor’s or Master’s degree in computer science or equivalent
• Experience deploying microservices to Kubernetes or cloud-native environments
• Experience with automated tests at all levels (unit, API, e2e)
• AI-enabled software development experience or workflows
• Curiosity for new technologies, frameworks, and methodologies in software development
• Bonus: Proficiency in TypeScript and Angular

Aufgaben

• Develop and maintain our Enterprise Imaging solution
• Develop reusable components for cloud-hosted medical imaging apps
• Participate in planning and design of the overall system
• Develop automated integration and unit tests
• Collaborate with distributed teams across time zones

Kenntnisse

SCRUM/Agile

AI-enabled development

Curiosity for new tech

Ausbildung

Bachelor's/Master's in Computer Science

Tools

Kubernetes

TypeScript

Angular

Java

Spring

Git

Gradle

Jenkins

Rancher

OpenSearch

Grafana

Jobbeschreibung

Agfa-Gevaert in Wien is seeking an experienced Software Engineer for our Diagnostic Imaging Platform (m/f/d). You will contribute to an image-based diagnosis platform running as desktop and web apps, joining one of several SCRUM teams of about 50 engineers.

You will work on high-end enterprise imaging, build reusable cloud components, participate in system design, and develop automated tests. Knowledge of Kubernetes and AI-enabled development is a plus; remote-friendly with flexible working