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 take full ownership of Azure infrastructure, automation, Kubernetes, CI/CD, security, and reliability, working closely with software and ML engineers to support real production workloads.

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 using Terraform or Bicep, with a strong 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 and efficient software delivery.
Establish strong cloud 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, optimize cloud performance and cost, and prepare infrastructure for future scale.
Own infrastructure initiatives end-to-end, contribute to architecture decisions and incident response, and continuously raise platform engineering standards.

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 cloud architecture, deployment, networking, identity, security, and operations.
Hands-on experience with Terraform or Bicep and a solid Infrastructure as Code mindset.
Production experience with Docker, Kubernetes/AKS, and CI/CD platforms such as GitHub Actions or Azure DevOps.
Background at a large technology or enterprise organization, with demonstrated end-to-end ownership of cloud infrastructure rather than a purely operational or contributor-only scope.
Strong understanding of cloud security, networking, observability, reliability, and automation, with solid Linux administration and scripting skills (Bash, Python, or equivalent).
Ability to work effectively with ambiguity, high ownership, and the pace of an early-stage environment.
Experience with AI/ML or GPU-based cloud workloads is a plus.
Familiarity with GitOps, Helm, Argo CD, Prometheus, Grafana, or OpenTelemetry is a plus.
Experience with AWS or Google Cloud alongside Azure is a plus.
Experience in manufacturing, industrial IoT, or robotics environments is a plus.

Compensation & Benefits

Base salary: €75,000 to €95,000 per year. Visa sponsorship is not available for this role.

Location

Primary location is Berlin, Germany, with a hybrid work arrangement. Candidates based elsewhere in Germany may also be considered for a remote setup.