Description

You design and manage scalable AWS cloud architectures, integrating AI/ML workloads to drive business outcomes.

This role is hybrid.

Responsibilities

• Design end-to-end AWS architectures aligned with enterprise goals.
• Deploy AI/ML workloads using SageMaker, Bedrock, Comprehend, and Lex.
• Oversee infrastructure automation with Terraform, CloudFormation, or CDK.
• Implement data pipelines and MLOps frameworks for continuous deployment.
• Ensure compliance with the AWS Well-Architected Framework.

Required Skills

• 10+ years of IT experience, with 5+ years in AWS cloud architecture.
• Deep expertise in AWS core services: EC2, Lambda, ECS/EKS, S3, RDS, DynamoDB, VPC, CloudFront, CloudWatch, IAM.
• Strong experience in AI/ML design, deployment, and integration within AWS.
• Proficiency in automation tools: Terraform, CDK, CloudFormation, Jenkins, GitHub Actions, CI/CD.
• Strong understanding of Python and data pipeline architecture.
• Experience with containerization and orchestration (Docker, Kubernetes).

Preferred Skills

• Master’s degree in Computer Science, Engineering, or related field.
• Experience with PyTorch/TensorFlow.

Key Skills

Education

Any Graduate