🔧 What You’ll Do:
- Design, deploy, and maintain scalable Azure infrastructure for web and AI-based applications.
- Build and manage robust CI/CD pipelines for reliable, rapid deployment cycles.
- Oversee database systems (SQL/NoSQL), authentication, and access controls.
- Implement logging, monitoring, and debugging systems for full operational visibility.
- Act as a go-to for production issues and collaborate across Dev, AI, and Ops teams to improve platforms continuously.
- Strong experience with Microsoft Azure, delivering cloud-hosted web and AI applications, and managing infrastructure as code (Terraform or ARM), CI/CD pipelines, and databases (SQL/NoSQL).
- Solid knowledge of authentication/authorization systems, application observability (logging, monitoring, debugging), and cloud security best practices.
- Hands-on skills with Kubernetes, scripting (Python or Bash), and experience in platform engineering or designing cloud architectures (Azure, AWS, or GCP).
- Professional fluency in English and German (minimum B2 level).
- Be part of a fast-paced, impact-driven team shaping how AI is applied in industry.
- Work in a culture that values experimentation, collaboration, and continuous learning.
- Hybrid setup: 4 days per week remote, Office located in Frankfurt.
- Dedicated learning budget and professional growth support.
- A role with direct impact on real-world solutions and end-user outcomes.