Senior Platform Engineer (AI Infrastructure)

• AWS Services: Proven Senior-level experience with EKS, EC2, S3, and IAM.
• IaC: Strong expertise in AWS CDK.
• Kubernetes: Advanced hands-on experience with EKS, RBAC, and container networking.
• CI/CD & GitOps: Proficiency in ArgoCD, Helm, Jenkins, and CodeBuild.
• Security: Solid knowledge of IAM, AWS KMS, and Secrets Manager.
• Observability: Experience setting up monitoring and alerts using CloudWatch.
• ML/AI: Familiarity with Model Serving Frameworks (e.g., Triton, vLLM, Ray Serve, or similar).

Nice to have:

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

Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you!

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

,[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.] Requirements: Terraform, Kubernetes, AWS, ArgoCD, CDK, LLM Additionally: Sport subscription, Private healthcare, Flat structure, Small teams, International projects.