DevOps / Cloud / ML Engineer - Remote

Overview

As a DevOps / Cloud / ML Engineer, you will actively contribute to the design of digital solutions for cloud, AI, and ERP systems, modernizing and improving cloud infrastructure.

In Short

• Active involvement in digital solutions for Cloud, AI, and ERP systems.
• Modernization and improvement of cloud infrastructure.
• Utilization of Infrastructure as Code with tools like Docker, Kubernetes, and GitLab.
• Support and contribute ideas in software development across departments.
• Share knowledge within the team and promote know-how exchange.

Requirements

• Initial professional experience and a completed degree (e.g., Computer Science or Business Informatics) or a similar qualification.
• Good knowledge of Kubernetes, containerization under Linux, and some experience with security.
• Familiarity with AWS, Azure, or GCP.
• Experience in managing software projects and agile working methods.

Benefits

• Hybrid or remote work with flexible working hours.
• Autonomy and creative freedom in your work.
• Participation in company/project success.
• Modern workplace with ample opportunities for development.