Quick Overview
Job Description
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
10+ years of experience
Bachelor's Degree
Skills
AWS Cloud Infrastructure
AWS CDK
Terraform
AWS CloudFormation
Amazon SageMaker
Cloud Automation
Cloud DevOps Engineering
AI/ML Workload Support in Cloud Environments
Cross-functional Collaboration
Cloud Security and Compliance
Infrastructure as Code
Schedule
Start date: 2026-10-05
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