22 hours ago
Berlin, GermanyMid Level
Responsibilities
- Design and operate secure, scalable, and highly available Azure infrastructure across compute, networking, storage, identity, and platform services.
- Build and maintain automated, repeatable Infrastructure as Code deployments using Terraform or Bicep.
- 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.
- 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, optimize cloud performance and cost, and prepare infrastructure for scale.
- Own infrastructure initiatives end-to-end, contribute to architecture decisions and incident response, and improve platform engineering standards.
Requirements
- At least 4 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 Infrastructure as Code.
- Production experience with Docker, Kubernetes/AKS, and CI/CD platforms such as GitHub Actions or Azure DevOps.
- Experience at a large technology or enterprise organization with demonstrated end-to-end ownership of cloud infrastructure.
- Strong understanding of cloud security, networking, observability, reliability, and automation, plus Linux administration and scripting skills using 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.
Benefits
- Base salary is €75,000 to €95,000 per year.
- Hybrid work arrangement with a primary location in Berlin, Germany.
- Candidates elsewhere in Germany may be considered for a remote setup.