We’re working exclusively with an exciting technology company at the forefront of generative AI. Their mission is to bring practical AI solutions to market fast without cutting corners on quality or collaboration. They’re now hiring a DevOps Engineer to help scale production-grade infrastructure and ensure seamless deployment of AI-driven applications. 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. ✅ What You’ll Bring: 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). Why Join? 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.