CLOUD & INFRASTRUCTURE ENGINEER: .NET, AZURE & IaC (m/f/d)

Job description

Make an amazing climb in your career in an international team of experts. Our company provides technological services for the whole Schwarz group of more than 30 countries in Europe and the US. Our vision is to be the leading ecosystem for a better life. We built the European sovereign cloud STACKIT. With XM Cyber we set new standards in differing cyber crimes. We run AI better than anyone. With us you will find a variety of opportunities to grow and do your best at your calling – IT. We exist to improve life with our products and services - for today's generation and future generations. We act future proof! The impact you will create: Cloud Architecture & Engineering: Develop and manage innovative, scalable cloud-native solutions on Microsoft Azure. Backend Mastery: Take charge of backend development using C# .NET (and Go). IaC & CI/CD Evolution: Take ownership of our infrastructure automation heavily using Terraform (IaC). You will be a key player in planning and executing our CI/CD migration from Azure DevOps to GitLab (YAML). Observability & Operations: Implement and elevate our system monitoring and observability by introducing and leveraging Grafana Cloud. Full-Stack & Quality Assurance: Maintain essential frontend components (HTML/JS), ensure robust software quality through unit/integration testing, and actively shape our system architecture and code reviews. Experience and skills you will need: Cloud & Infra Expertise: You have at least 5+ years of experience in cloud solution development (ideally Azure) with a deep, hands-on passion for Infrastructure as Code (Terraform) and advanced CI/CD pipelines (YAML). Tech Stack: You possess strong knowledge of .NET/C#, solid understanding of web technologies, and proven experience with NoSQL databases - especially MongoDB. Observability Mindset: You understand the importance of system reliability and have experience or strong interest in modern observability platforms like Grafana Cloud. Education: You have a university degree in (Business) Informatics, Computer Science, or a comparable qualification/practical experience. AI Integration: First practical experience with Agentic AI tools, frameworks, or autonomous agents. Nice to Have: Hands-on experience with GitLab (CI/CD), Go, GCP