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
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Design and operate secure, scalable, and highly available Azure cloud infrastructure across compute, networking, storage, identity, and platform services.
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Build and maintain infrastructure using Terraform or Bicep, with a strong focus on automation, consistency, and repeatable deployments.
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Deploy and operate Docker and Kubernetes/AKS environments, including scaling, networking, upgrades, security, and production troubleshooting.
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Design and improve CI/CD pipelines using GitHub Actions, Azure DevOps, or similar tools to enable reliable and efficient software delivery.
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Establish strong cloud security, observability, and reliability practices covering IAM, secrets management, monitoring, logging, alerting, backup, and disaster recovery.
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Partner with engineering and ML teams to support AI/ML workloads, optimize cloud performance and cost, and prepare infrastructure for future scale.
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Own infrastructure initiatives end-to-end, contribute to architecture decisions and incident response, and continuously raise platform engineering standards.
What We're Looking For
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4 or more years of hands-on experience in Cloud Engineering, DevOps, Platform Engineering, SRE, or a related field.
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Strong production experience with Microsoft Azure, including cloud architecture, deployment, networking, identity, security, and operations.
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Hands-on experience with Terraform or Bicep and a solid Infrastructure as Code mindset.
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Production experience with Docker, Kubernetes/AKS, and CI/CD platforms such as GitHub Actions or Azure DevOps.
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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.
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Strong understanding of cloud security, networking, observability, reliability, and automation, with solid Linux administration and scripting skills (Bash, Python, or equivalent).
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Ability to work effectively with ambiguity, high ownership, and the pace of an early-stage environment.
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Experience with AI/ML or GPU-based cloud workloads is a plus.
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Familiarity with GitOps, Helm, Argo CD, Prometheus, Grafana, or OpenTelemetry is a plus.
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Experience with AWS or Google Cloud alongside Azure is a plus.
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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.
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