Track This Job
Add this job to your tracking list to:
- Monitor application status and updates
- Change status (Applied, Interview, Offer, etc.)
- Add personal notes and comments
- Set reminders for follow-ups
- Track your entire application journey
Save This Job
Add this job to your saved collection to:
- Access easily from your saved jobs dashboard
- Review job details later without searching again
- Compare with other saved opportunities
- Keep a collection of interesting positions
- Receive notifications about saved jobs before they expire
AI-Powered Job Summary
Get a concise overview of key job requirements, responsibilities, and qualifications in seconds.
Pro Tip: Use this feature to quickly decide if a job matches your skills before reading the full description.
Senior DevOps Engineer – Azure
Location: Munich, Germany (Hybrid – 2 days per week on-site)
Language Requirement: English
Business Area: MedTech – AI Division
Our client is a leading global MedTech organisation committed to advancing healthcare through innovation. The company’s AI division, based in Munich, is seeking a highly skilled Senior DevOps Engineer (Azure) to support the development and deployment of cutting-edge AI solutions in the Medtech industry.
Key Responsibilities:
- Design, implement, and maintain secure, scalable Azure-based infrastructure.
- Develop and optimise CI/CD pipelines to support AI-driven applications.
- Collaborate with cross-functional teams, including Data Scientists, AI Engineers, Software engineers, and product managers.
- Ensure best practices in cloud security, monitoring, and reliability are followed.
- Drive continuous improvement and contribute to the DevOps strategy of the AI division.
Experience required:
- Extensive professional experience in DevOps or Cloud Engineering, with a strong focus on Microsoft Azure.
- Proficiency in Infrastructure as Code (Terraform, Bicep, ARM) and automation tools (Azure DevOps, GitHub Actions, Jenkins, or similar).
- Solid expertise in containerisation technologies (Docker, Kubernetes/AKS).
- Strong knowledge of monitoring, logging, and observability solutions.
- Excellent command of English (spoken and written).
- Based in or willing to relocate to Munich, with the ability to attend the office two days per week.
- Experience with Generative AI (GenAI) environments or workflows will be considered a strong advantage.
What is Offered:
- The opportunity to contribute to pioneering AI technologies within the MedTech sector.
- A diverse and international working environment.
- Hybrid working model with modern office facilities in central Munich.
- Competitive remuneration and benefits package.
Interviews will commence from 13th October, so please apply immediately to be considered.
Key Skills
Ranked by relevanceReady to apply?
Join SGI and take your career to the next level!
Application takes less than 5 minutes