About this role

Senior Platform Engineer (AI Infrastructure) Acaisoft Poland Sp. z o.o. Daily tasks: - 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. Musts: Terraform, Kubernetes, AWS, ArgoCD, CDK 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.

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