- Design, implement, and maintain AWS infrastructure supporting production-grade GenAI solutions.
- Architect cloud solutions using AWS services including:
- AWS Lambda
- API Gateway
- DynamoDB
- Amazon S3
- Amazon Bedrock
- Amazon SageMaker
- IAM
- Develop and maintain Python-based reusable cloud and GenAI platform components.
- Build, manage, and optimize Infrastructure-as-Code using Terraform.
- Develop and maintain CI/CD pipelines using GitHub Actions.
- Implement secure IAM policies, access controls, and governance standards.
- Monitor cloud environments using CloudWatch, X-Ray, logging, and observability tools.
- Troubleshoot infrastructure, deployment, security, and application issues.
- Optimize cloud infrastructure for performance, reliability, scalability, and cost efficiency.
- Collaborate with Data Science, MLOps, DevOps, and Engineering teams to operationalize GenAI models and services.
- Develop reusable cloud patterns, architecture standards, and operational documentation.
Must-Have Skills
AWS Cloud Engineering
- Strong hands-on experience with:
- AWS Lambda
- API Gateway
- DynamoDB
- S3
- IAM
- CloudWatch
- Experience designing and supporting production AWS environments.
Generative AI Platforms
- Experience working with:
- Amazon Bedrock
- Amazon SageMaker
- Understanding of GenAI application deployment and operationalization.
Infrastructure as Code
- Strong expertise in:
- Terraform
- Experience building reusable infrastructure modules and automation frameworks.