AWS Cloud Engineer - Chennai/Pune/Bangalore/Hyderabad/Delhi

Key Responsibilities

• 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.

DevOps & CI/CD

• Strong experience with:

• GitHub Actions
• CI/CD pipelines

• Automated deployments

• Understanding of DevOps best practices and cloud automation.

Programming & Automation

• Strong proficiency in:

• Python

• Experience building automation scripts and cloud platform components.

Security & Operations

• Experience implementing:

• IAM policies
• Security controls

• Monitoring and observability solutions

• Knowledge of cloud governance and compliance practices.

Good-to-Have Skills

• Experience with:

• MLOps platforms and workflows
• Containerization technologies (Docker, Kubernetes)

• Serverless architectures

• Exposure to:

• AI/ML model deployment

• FinOps and cloud cost optimization

• AWS certifications preferred.