Senior devops engineer devops csapatvezető állás, munka

• 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

• 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...

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....

• 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

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

Elosztott rendszerek, mikroszervizek és felhőalapú infrastruktúrák teljes körű observability-jének kiépítése Teljesítmény, elérhetőség és stabilitás javítása cutting-edge eszközökkel és módszertanokkal Nagyvállalati környezetben előforduló problémák feltérképezése, hibakeresés és dokumentáció...

• System Ownership & Lifecycle:
• Own the entire system life cycle
• for our public cloud-based infrastructure, including requirements gathering, architecting, vetting, building, and operational management.
• Automation & Operational Efficiency: Drive significant improvements in
• operational efficiency