IT - DevOps Engineer including Cloud, CI/CD, AI, GenAI, Openshift, AWS, Incident, etc. (f/m/d)

Must-have requirements for operating production platform and cloud environments: Several years of experience in DevOps, platform, or cloud engineering with operational responsibility for production systems - Experience level in years - 5+ years of experience in building and operating CI/CD pipelines and automated deployment processes - Experience level in years - 3+ years of experience in operating and further developing AI, GenAI, or agentic applications - Experience level in years - 1+ year of experience in the operations environment of cloud and container platforms for the transition from OpenShift to AWS within the last 4 years - Experience level in years - 3+ years of IT operations and service management of production systems: Experience in incident management, problem management, and production system operation - Experience level in years - 3+ years of Desired requirements: Experience in agentic engineering, especially agent orchestration, tool usage, multi-agent architectures, and agent lifecycle management - Number of references - 2 Experience in building production-ready operating models, Runbooks, support structures, readiness and escalation processes - Number of references - 2 Experience in scaling, high availability, resilience and performance optimization of production cloud-native platforms - Number of references - 2 Experience in the introduction of new technologies, engineering tools or operational processes in the AI/GenAI/Agentic environment - Number of references - 1 Experience in creating technical operational, architectural and decision documentation for production platforms and AI systems - Number of references - 1 Experience in collaborating with architecture, platform, security, development and operations teams in complex organizations - Number of references - 2 Experience with GenAI platforms and AI Foundation services (e.g. AWS Bedrock, Azure AI Services or comparable platforms) - Number of references - 1 Experience with IAM, security and secret management concepts in complex cloud environments beyond the minimum requirements - Number of references - 2 Experience with MCP-based integration scenarios, especially production MCP servers, tool gateways, registries or Tool integrations - Number of references - 2 Security and compliance for AI solutions: Experience in implementing governance, security, and compliance requirements for AI solutions (guardrails, auditability, policy enforcement, traceability of decisions) - Number of references - 1