In this role, you will architect and operate a cloud-native platform that powers intelligent, autonomous AI applications across a general 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.opportunity to impact life-changing R&Dculture; of inclusion and belongingcareer development across a global companyOwn the platform architecture, technical roadmap and ADRs within the broader agentic AI strategyDesign, build and operate the multi-tenant Kubernetes platform using Amazon EKS, Terraform, Helm, Kustomize, Argo CD and Argo WorkflowsBuild repeatable onboarding, promotion, recovery and decommissioning capabilities through Azure DevOps and GitOpsImplement identity and tenant isolation across OIDC, Kubernetes RBAC and impersonation, AWS workload identity and secrets managementDesign secure integrations with models, tools, MCP/A2A services and other enterprise platformsOwn operational readiness, including SLOs, telemetry, agent and LLM tracing, evaluation, capacity, cost, incident response, upgrades, backup/restore and rollbackDevelop and review production Python, Terraform modules, Helm charts and pipeline templatesEstablish technical standards, documentation and reusable platform patterns,



and mentor other engineersUniversity degree in Computer Science, Engineering, or equivalent8+ years of relevant experience building secure, scalable, resilient cloud-native backend systems at enterprise scaleExperience in architecting complex cloud-native solutions and in guiding teams in their implementationHands-on experience designing and operating production Kubernetes platforms, preferably Amazon EKSStrong AWS platform engineering experience across EKS, ECR, IAM/workload identity, VPC/private connectivity, ALB/WAF, Route 53, Secrets Manager, CloudWatch and S3Strong Infrastructure as Code and GitOps experience using Terraform, Helm, Kustomize, Argo CD and GitExperience building and governing CI/CD pipelines, preferably with Azure DevOpsStrong production Python experience, including boto3, API integration, automated testing and operational automationExperience with OIDC/OAuth2/JWT, least-privilege access, tenant isolation, Kubernetes RBAC and secure secrets managementPractical experience building or operating GenAI or agentic systems, including tool integration, state and memory, evaluation, observability and failure handlingUnderstanding of MCP and A2A, particularly authentication, authorization, service boundaries and enterprise governanceBusiness-fluent English (written and spoken)Strong sense of ownership and accountabilityCurious and eager to learn; comfortable with evolving techCollaborative, cross-functional teamwork in international settingsKubernetes platform design and operation (EKS)AWS services: EKS, ECR, IAM, VPC, Route 53, Secrets Manager, CloudWatch, S3
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📌 Agentic Ai Platform Architect (Barcelona)
🏢 Merck
📍 Barcelona