Cloud / DevOps Engineer

Role details

ABOUT THE ROLE We're looking for a Cloud / DevOps Engineer to own and evolve the cloud infrastructure powering a growing AI platform. Working closely with software and ML engineers, you'll have real architectural influence and end-to-end responsibility for a modern Azure-based stack. WHAT YOU'LL DO - Design and operate secure, scalable, highly available Azure infrastructure spanning compute, networking, storage, identity, and platform services. - Build and maintain infrastructure as code using Terraform or Bicep, ensuring consistent and repeatable deployments. - Deploy and manage Docker and Kubernetes/AKS environments, including scaling, networking, upgrades, security hardening, and production troubleshooting. - Design and improve CI/CD pipelines using GitHub Actions, Azure DevOps, or equivalent platforms for reliable software delivery. - Establish 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 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+ years of hands-on experience in Cloud Engineering, DevOps, Platform Engineering, or SRE. - Strong production experience with Microsoft Azure across architecture, deployment, networking, identity, and security. - Solid Infrastructure as Code experience with Terraform or Bicep in production environments. - Production experience deploying and operating Docker and Kubernetes/AKS clusters. - Demonstrated end-to-end ownership of cloud infrastructure, including architecture decisions — not just an operations or contributor role. - Background at a large-scale technology or enterprise organisation, with comfort translating that experience into a fast-paced, early-stage environment. - Strong grasp of cloud security (IAM, secrets management), observability, reliability, and automation. - Solid Linux administration and scripting skills (Bash, Python, or equivalent). - Experience with GitOps, Helm, Argo CD, Prometheus, Grafana, or OpenTelemetry is a plus. - Familiarity with AI/ML or GPU-based workloads, or multi-cloud environments (AWS/GCP alongside Azure), is a bonus. COMPENSATION & BENEFITS - Base salary: €75,000 – €95,000 annually. - Visa sponsorship is not available for this role. LOCATION Hybrid — primary location is Berlin, Germany. Remote work within Germany is also supported.