Senior Platform Engineer (AI Infrastructure)

We are looking for a Platform Engineer to work with our client, a USA-based international company providing seamless payments for people worldwide.

• Proven senior-level experience with AWS services: EKS, EC2, S3, and IAM.
• Strong expertise in Infrastructure as Code with AWS CDK.
• Advanced hands-on experience with Kubernetes, including EKS, RBAC, and container networking.
• Proficiency in CI/CD & GitOps tools: ArgoCD, Helm, Jenkins, and AWS CodeBuild.
• Solid knowledge of security practices involving IAM, AWS KMS, and Secrets Manager.
• Experience setting up monitoring and alerts with AWS CloudWatch.
• Familiarity with Model Serving Frameworks such as Triton, vLLM, Ray Serve, or similar.

• Architect, deploy, and manage scalable cloud infrastructure on AWS (EKS, EC2, S3, IAM).
• Build and maintain Infrastructure as Code using AWS CDK with TypeScript.
• Manage enterprise-grade Kubernetes (EKS) clusters focusing on RBAC, container networking, and security.
• Implement end-to-end CI/CD and GitOps workflows using ArgoCD, Helm, Jenkins, and AWS CodeBuild.
• Ensure robust security controls across the platform using KMS, Secrets Manager, and IAM best practices.
• Establish deep system observability and monitoring via AWS CloudWatch.
• Support AI/ML teams by enabling, optimizing, and maintaining Model Serving Frameworks on Kubernetes.

Nice to have:

• Experience with custom AI agent architectures or enterprise LLM deployment pipelines.
• Background in multi-region or high-availability Kubernetes setups.