In this role, you will architect and operate a cloud-native platform that powers intelligent, autonomous AI applications across a global 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&D; ~ culture of inclusion and belonging ~ career development across a general company ~ 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 engineers ~ 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) ~ Strong sense of ownership and accountability ~ Curious and eager to learn; comfortable with evolving tech ~ Collaborative, cross-functional teamwork in international settings ~ Kubernetes platform design and operation (EKS) ~ AWS services: EKS, ECR, IAM, VPC, Route 53, Secrets Manager, CloudWatch, S3

📌 Aws Architect Terraform (Barcelona)
🏢 Merck
📍 Barcelona