Experteer Overview In this role, you will architect and operate a cloud-native platform that powers intelligent, autonomous AI applications across a integral enterprise. You’ll own the platform strategy, design multi-tenant Kubernetes environments, and drive end-to-end delivery with a focus on security, reliability, and scalable operations. You’ll mentor engineers and collaborate with cross-functional teams to turn complex AI and MLOps needs into reusable platform patterns. This is a mission-driven opportunity to shape how agentic AI drives impact in healthcare and life sciences.Compensaciones / Beneficios
- Own the platform architecture, technical roadmap and ADRs within the broader agentic AI strategy
- Design, build and operate the multi-tenant Kubernetes platform using Amazon EKS, Terraform, Helm, Kustomize, Argo CD and Argo Workflows
- Build repeatable onboarding, promotion, recovery and decommissioning capabilities through Azure DevOps and GitOps
- Implement identity and tenant isolation across OIDC, Kubernetes RBAC and impersonation, AWS workload identity and secrets management
- Design secure integrations with models, tools, MCP/A2A services and other enterprise platforms
- Own operational readiness, including SLOs, telemetry, agent and LLM tracing, evaluation, capacity, cost, incident response, upgrades, backup/restore and rollback
- Develop and review production Python, Terraform modules, Helm charts and pipeline templates
- Establish technical standards, documentation and reusable platform patterns, and mentor other engineersResponsabilidades




- University degree in Computer Science, Engineering, or equivalent
- 8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scale
- Experience in architecting complex cloud-native solutions and in guiding teams in their implementation
- Hands-on experience designing and operating production Kubernetes platforms, preferably Amazon EKS
- Strong AWS platform engineering experience across EKS, ECR, IAM/workload identity, VPC/private connectivity, ALB/WAF, Route 53, Secrets Manager, CloudWatch and S3
- Strong Infrastructure as Code and GitOps experience using Terraform, Helm, Kustomize, Argo CD and Git
- Experience building and governing CI/CD pipelines, preferably with Azure DevOps
- Strong production Python experience, including boto3, API integration, automated testing and operational automation
- Experience with OIDC/OAuth2/JWT, least-privilege access, tenant isolation, Kubernetes RBAC and secure secrets management
- Practical experience building or operating GenAI or agentic systems, including tool integration, state and memory, evaluation, observability and failure handling
- Understanding of MCP and A2A, particularly authentication, authorization, service boundaries and enterprise governance
- Business-fluent English (written and spoken)Requisitos principales
- high-autonomy engineering culture
- flexible working models
- global, diverse environment
- opportunity to impact life-changing Ru0026D
- culture of inclusion and belonging
- career development across a global company

📌 Agentic Ai Platform Architect (Mollet del Vallès)
🏢 Merck
📍 Mollet del Vallès