DevOps Engineer (f/m/d)

Job summary

SupplyOn AG is seeking a DevOps Engineer (f/m/d) for their Dresden office (hybrid) to drive innovation and digitalization. The role involves operating and improving Azure- and Kubernetes-based platforms, developing Infrastructure as Code, and optimizing CI/CD pipelines. The ideal candidate will have professional experience in DevOps or similar roles, hands-on experience with Microsoft Azure and Kubernetes, and strong communication skills.

Benefits

Qualifications

• Professional experience in a DevOps, Platform Engineering, Cloud Engineering, or similar role
• Hands-on experience with Microsoft Azure
• Strong practical knowledge of Kubernetes and containerized environments
• Experience with Infrastructure as Code, preferably Terraform
• Good understanding of Linux systems and cloud-native architectures
• Experience working with CI/CD pipelines and Git-based workflows
• Strong sense of ownership and responsibility for production environments
• Structured and solution-oriented way of working
• Very good English communication skills

Responsibilities

• Operate and continuously improve Azure and Kubernetes-based platform landscape
• Develop and maintain Infrastructure as Code using Terraform
• Design, implement, and optimize CI/CD pipelines in GitLab
• Monitor platform health and reliability using Grafana, Loki, Prometheus, and related tooling
• Investigate and resolve incidents, production issues, and infrastructure-related problems
• Support deployment processes and ensure stable and secure releases
• Drive automation initiatives to improve operational efficiency and developer experience
• Build and enhance self-service capabilities for development teams
• Identify opportunities to simplify processes and reduce manual effort
• Contribute to platform architecture and long-term infrastructure improvements
• Develop concepts and implementation plans for technical enhancements
• Work closely with development teams, central IT, monitoring specialists, and other stakeholders
• Act as a trusted technical partner for platform users and internal customers
• Participate actively in agile team ceremonies and planning activities
• Review infrastructure and automation changes through merge requests and peer review
• Share knowledge and contribute to a culture of learning and collaboration
• Leverage AI-supported tools such as GitHub Copilot, Cursor, and similar technologies to improve productivity and quality
• Apply AI to infrastructure automation, troubleshooting, documentation, and operational workflows
• Evaluate emerging AI capabilities and contribute ideas on how they can enhance platform engineering practices
• Promote responsible, critical, and effective use of AI within engineering processes

Skills

Languages

Relocation