devops engineer in AI platforms

Capgemini supports organizations with business transformation in the AI era by combining AI, technology, human creativity, strategy, engineering, intelligent operations, cloud, and data capabilities to create scalable business success.

• Design creative, sustainable, and maintainable IT architectures for complex IT environments;
• Ensure the reliable operation of business-critical systems with the team;
• Drive quality, stability, and security across customer environments;
• Create smart, automated AI solutions to simplify daily processes;
• Identify customer requirements and opportunities and implement them with the team;
• Advise projects and customers on relevant and current DevOps technologies and processes;
• Share knowledge in technical workshops.

• At least 3 years of professional experience in DevOps, cloud, and software development from implementation through production operations;
• Technical expertise in selected DevOps topics;
• Strong cloud knowledge, ideally in STACKIT, Azure, AWS, or GCP;
• Practical experience with Kubernetes, Docker, Terraform, Ansible, Jenkins, CI/CD pipelines such as GitLab, security, and system and network fundamentals;
• Excellent communication and presentation skills;
• Customer-oriented approach and confident manner;
• Willingness to travel for projects;
• Excellent German and English skills;
• Nice to have: A degree in computer science, business informatics, another STEM field, or equivalent training, experience building and operating Sovereign AI platforms.

• Part-time employment is available;
• Flexible working hours and time-off models;
• Job bicycle program;
• Mobility budget;
• Diverse professional development opportunities;
• International employee network;
• Cooperation with pme Familienservice;
• Deferred Compensation;
• Extended continued salary payment in case of illness;
• Health programs;
• Employee discounts;
• Team and sports events.