Description

You will own the AWS infrastructure, data pipelines, and production environments for ML workloads.

Responsibilities

• Build and deploy infrastructure using AWS CDK.
• Support and maintain production environments.
• Manage ETL infrastructure and data workflows.
• Configure AWS services for data and machine learning workloads.

Required Skills

• 5+ years of experience in infrastructure or related roles.
• AWS CDK for Infrastructure as Code.
• AWS Redshift.
• AWS Glue for ETL infrastructure.
• SageMaker Studio.
• Lambda Stack.
• AWS Transfer Family.
• AWS Secrets Manager and Parameter Store.
• Any Graduate degree.

Key Skills

Education

Any Graduate