Tech Stack

Description

You will design and maintain scalable infrastructure for AI/ML workloads on AWS, using Terraform and CDK for IaC, managing containerized workloads with Docker and EKS, and building CI/CD pipelines. Collaborate with ML teams to deploy and optimize models, focusing on performance and security.

Requirements

• Expertise in AWS services (EC2, ECS/EKS, Lambda, S3, VPC, etc.)
• Experience with Infrastructure as Code (Terraform, CDK, CloudFormation)
• Proficiency in containerization and orchestration (Docker, EKS, Fargate)
• Experience building CI/CD pipelines (CircleCI, GitHub Actions, GitLab CI)
• Strong collaboration skills with ML teams for model deployment and optimization

Responsibilities

• Design, deploy, and maintain scalable and secure infrastructure supporting AI and ML workloads
• Build and maintain AWS cloud environments for compute, storage, and networking
• Implement security best practices using IAM, KMS, Secrets Manager, GuardDuty, and Security Hub
• Develop and maintain Infrastructure as Code using Terraform, AWS CDK, and CloudFormation
• Manage containerized workloads and orchestration platforms including GPU scheduling and scaling