Cloud devops engineer azure all genders állások, munkák Németországban

• Standardize Azure architectures and resources using Infrastructure-as-Code — with a strong focus on automation and enabling internal teams through self-service capabilities
• Develop and onboard innovative cloud-based applications as part of Roland Berger's internal digital ecosystem

We are looking for an Expert DevOps Engineer (f/m/d) within the Sovereign Cloud Delivery & Operations team in the Customer Services & Delivery board area, focused on the Sovereign Cloud deployment of SAP SuccessFactors (HCM). In this role, you will join the Multi-Tenant Engineering team: We own,...

• Kubernetes Management
• Deploy, configure, and maintain Kubernetes clusters in an air-gapped environment.
• Work with k8s/k3s to ensure efficient resource utilization and high availability
• Linux Administration
• Maintain Linux servers, including performance tuning, backups, and user management.

As a lead DevOps engineer, you will work side by side with your coworkers in an agile team in an environment which will allow you create the ideal conditions for your future career....

Analyze requirements and develop solution concepts for data exchange between defined IT systems and the management of business processes in the cloud...

• Ensure reliability and uptime of our production systems (Kubernetes, networks, storage)
• Automate infrastructure using Terraform, Ansible, Puppet, etc.
• Operate and evolve monitoring and observability with Prometheus, Grafana, Loki, Cribl.io

Embed Security in CI/CD: Automate security testing in GitLab (SAST, DAST, dependency scans) to catch vulnerabilities early and enable developers to move fast with confidence....

• Develop and maintain high-performance web applications using React and TypeScript
• Implement and optimize backend services and APIs running in a Kubernetes powered Azure environment
• Work within a monorepo architecture to ensure modularity and efficient code management

• Design scalable and secure cloud solutions on Azure to support data collection and processing
• Understand business and application needs to identify key architectural drivers
• Develop comprehensive solutions considering organizational constraints

• ongoing information on developments, discussions, and trends regarding the use of AI in research
• ongoing information on current and developing legal or compliance requirements
• ongoing development of the (AI) software portfolio provided to research and administration at the GIGA