Cloud / DevOps Engineer

About the Role

We are looking for a Cloud / DevOps Engineer to design, build, and operate the cloud infrastructure powering a growing AI platform. You will sit at the intersection of engineering and ML teams, taking end-to-end ownership of Azure infrastructure, automation, Kubernetes, CI/CD, security, and reliability.

What You'll Do

• Design and operate secure, scalable, and highly available Azure cloud infrastructure across compute, networking, storage, identity, and platform services.

• Build and maintain infrastructure as code using Terraform or Bicep, with a focus on automation, consistency, and repeatable deployments.

• Deploy and operate Docker and Kubernetes/AKS environments, including scaling, networking, upgrades, security, and production troubleshooting.

• Design and improve CI/CD pipelines using GitHub Actions, Azure DevOps, or similar tools to enable reliable software delivery.

• Establish strong security, observability, and reliability practices covering IAM, secrets management, monitoring, logging, alerting, backup, and disaster recovery.

• Partner with engineering and ML teams to support AI/ML workloads and optimise cloud performance and cost.

• Own infrastructure initiatives end-to-end and contribute to architecture decisions and incident response.

What We're Looking For

• 4 or more years of hands-on experience in Cloud Engineering, DevOps, Platform Engineering, SRE, or a related field.

• Strong production experience with Microsoft Azure, including architecture, networking, identity, security, and operations.

• Hands-on production experience with Terraform or Bicep and a solid Infrastructure as Code mindset.

• Production experience deploying and operating Docker and Kubernetes/AKS clusters.

• Experience building and maintaining CI/CD pipelines with GitHub Actions, Azure DevOps, or equivalent platforms.

• Background at a large technology or enterprise organization, with demonstrated end-to-end ownership of cloud infrastructure rather than a purely operational scope.

• Strong understanding of cloud security practices including IAM and secrets management.

• Solid Linux administration and scripting skills in Bash, Python, or equivalent.

• Hands-on experience with observability, monitoring, logging, and alerting tooling.

• Comfort operating with ambiguity and high ownership at startup pace.

• Familiarity with AI/ML or GPU-based cloud workloads is a plus.

• Experience with GitOps, Helm, Argo CD, Prometheus, Grafana, or OpenTelemetry is a plus.

• Exposure to AWS or Google Cloud alongside Azure is a plus.

Compensation & Benefits

• Base salary: €75,000 to €95,000 annually.

• Visa sponsorship is not available for this role.

Location

Primary location is Munich, Germany, with a hybrid work arrangement. Candidates based elsewhere in Germany and working remotely are also considered.