SupplyOn is the digital infrastructure for globally connected industries. For more than 25 years, our platform has managed complex supply chains, connecting over 70 percent of the world’s leading industrial companies and ensuring that everything is in the right place at the right time. Our shareholders are Bosch, Aumovio, Schaeffler, and ZF. We drive digital transformation where it truly matters: in the real network. Technologically strong. Internationally connected. Our SupplyOn team, with many talented individuals, is growing in terms of new projects, employees and development opportunities. In order to be able to drive innovation and digitalisation to the next level, we are looking for a DevOps Engineer (f/m/d) for our office in Dresden (hybrid).
Responsibilities
Platform Engineering & Operations
- Operate and continuously improve our 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
Automation & Continuous Improvement
- 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
Collaboration & Enablement
- 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
AI-Assisted Engineering
- 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 a responsible, critical, and effective use of AI within engineering processes
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