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

Job description

**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.