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

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