Platform Automation Engineer (m/f/d)

Activities Your tasks: Conception, implementation and operation of CI/CD Pipelines: You are responsible for the development and maintenance of continuous integration and continuous delivery (CI/CD) pipelines. Your goal is to optimize the efficiency and quality of our software delivery by implementing automated processes for build, test and deployment management. Development and operation of infrastructures as code (IaC): You use tools such as Terraform or Ansible to develop and operate infrastructures as code. You build stable and scalable systems that enable efficient and repeatable deployment and management of our IT resources. Monitoring and automation of cloud and on-premise infrastructures: You monitor the operation of our IT infrastructures and use monitoring and logging tools such as Prometheus, Grafana and ELK Stack to ensure availability and performance. You automate routine tasks to increase the efficiency and responsiveness of the systems. Implementation and maintenance of container solutions: You develop and manage container-based solutions with docker and align them with Kubernetes. You ensure that applications are flexible, portable and easily scalable to meet the requirements of our projects. Security practices in the DevOps pipeline: You implement and monitor security practices within the DevOps pipeline to ensure compliance with safety standards. You identify potential vulnerabilities and implement appropriate safeguards to ensure the integrity and security of our applications and infrastructures. As DevOps Engineer (m/w/d), you become part of a team that drives the automation and optimization of our IT infrastructure and development processes. Together we maximize the efficiency and quality of our software delivery.

Requirements Must-have: Completed studies in computer science or comparable qualification: You bring a well-founded training or practical experience in IT. Passion for cloud technologies: You have solid experience with a leading cloud platform, ideally Azure, and use cloud services to optimize and automate IT processes. Knowledge of Linux and Web Technologies: You are experienced in managing Linux systems and modern web technologies to develop robust infrastructures. Analytical thinking: You like to solve complex technical challenges in a dynamic environment. Nice-to-have: Experience with other cloud platforms (AWS, Google Cloud) Automation tools (e.g. Terraform, Ansible) Container technologies (Docker, Kubernetes) CI/CD pipelines Even if you don't bring everything you like to do – we value individual promotion and training! Team Welcome to the DevOps Engineering Team! Our team at a glance: DevOps expertise: Funded knowledge in CI/CD, automation tools and cloud infrastructure. We work with modern technologies to accelerate development cycles. Collaborative work: Close cooperation with developers and IT teams to develop effective DevOps solutions. Focus on automation: using tools such as terraform, ansible and Kubernetes for automation and fault reduction. Modern monitoring: monitoring and logging tools such as Prometheus and Grafana provide proactive performance management. Security & Compliance:

Innovative projects and cutting-edge technologies: work on exciting cloud projects with the latest technologies in a dynamic and innovative environment. We offer you the opportunity to deal with the latest cloud technologies and develop leading solutions. Team-oriented corporate culture: You will be part of a motivated and collaborative team that attaches value to open communication and mutual support. Individual development possibilities: We are committed to your continuous training. Safety practices are integrated into our pipeline to meet the highest standards. Innovation & Learning: Regular training and certifications keep us up to date. Flexibility: Hybrid work and flexible models support the work-life balance. Be part of our team: Are you ready to drive forward exciting projects and to help shape the future of our DevOps processes? Then we look forward to you! !