Overview
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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.
Compensaciones / Beneficios
high-autonomy engineering culture
versátil working models
global, diverse environment
opportunity to impact life-changing R&D;
culture of inclusion and belonging
career development across a global company
Responsabilidades
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
Requisitos principales
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 xqbhyrx 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
Terraform, Helm, Kustomize, Argo CD, Argo Workflows

📌 Agentic AI Platform Architect (Barcelona)
🏢 Merck
📍 Barcelona