Merck KGaA
From Merck KGaA's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Join our team as an Agentic AI Platform Engineer, where you will design and operate a cloud-native platform enabling enterprise-scale AI agent development. Lead the evolution of Kubernetes and secure integrations, while mentoring engineers and shaping technical standards. Ideal for experienced cloud engineers with deep expertise in Kubernetes, AWS, and AI platform engineering.
Skills: kubernetes rbac, networking, ingress, and autoscaling, oidc, oauth2, and jwt-based authentication design, workload identity and least privilege access design, production python development, helm and kustomize for kubernetes packaging, tenant isolation and multi-tenant platform architecture, amazon eks (kubernetes platform engineering), ci/cd pipeline design and governance (preferably azure devops), ai observability and evaluation frameworks, infrastructure as code with terraform, gitops workflows with argo cd and git, aws core services (iam, vpc, alb, route 53, secrets manager, cloudwatch, s3), generative ai / agentic systems engineering (tool integration, state and memory management), api integration and automated testing
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