DevOps Engineer (f/m/d) – System Engineering/Admin

Salary: 44.000 - 84.000 € per year

Requirements:

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 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

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 a responsible, critical, and effective use of AI within engineering processes

Technologies:

AI

Azure

CI/CD

Cloud

Copilot

Cursor

DevOps

Git

GitHub

GitLab

Grafana

Support

Kubernetes

Linux

Prometheus

Terraform

More:

At SupplyOn, we offer development opportunities within your team, through new roles, or across projects. Our collaboration is built on trust, high professional standards, and mutual support. Youll work with people who communicate openly, listen, and strive to improve together. We provide guidance while giving you the freedom to find your own path. What matters to us is what you bring and what we create together.

last updated 40 week of 2026