Full Job Description
Job Summary
The AWS Cloud DevOps Engineer will design, develop, and implement scalable cloud infrastructure solutions on AWS, with a focus on AI/ML workloads. The role requires a strong Cloud DevOps background and hands-on experience with infrastructure provisioning using Infrastructure as Code (IaC) tools such as AWS CDK, Terraform, and CloudFormation. The engineer will work closely with data science and DevOps teams to optimize the performance, cost, security, and scalability of cloud-based AI/ML environments.
Key Responsibilities
• Design, develop, and implement cloud infrastructure solutions on AWS with a focus on AI/ML workloads.
• Build and manage scalable AWS environments to support AI/ML applications and workloads.
• Configure and manage Amazon SageMaker environments for model training, deployment, and lifecycle management.
• Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.
• Develop and maintain infrastructure using AWS CDK, Terraform, and CloudFormation.
• Apply security and compliance standards across AWS infrastructure and provisioning processes.
• Collaborate with data science and DevOps teams to optimize AI/ML pipeline performance, cost, scalability, and reliability.
• Support cloud automation and DevOps practices across development, deployment, and operational workflows.
Required Qualifications
• Strong experience as an AWS Cloud Developer or Cloud DevOps Engineer.
• Strong hands-on experience with AWS infrastructure provisioning.
• Strong Cloud DevOps experience.
• Hands-on experience with AWS CDK and Terraform.
• Experience with Infrastructure as Code (IaC) practices and tools such as CloudFormation.
• Experience designing and implementing scalable AWS cloud infrastructure.
• Experience supporting AI/ML workloads in cloud environments.
• Experience with Amazon SageMaker for model training, deployment, and lifecycle management.
• Strong understanding of cloud security and compliance standards.
• Experience collaborating with data science and DevOps teams on cloud-based AI/ML solutions.