AWS Engineer

Position Title:

AWS Engineer Infrastructure as Code (IaC) and AI Services

Location:

Noida India

Experience Range:

36 years

Role Summary

We are looking for an experienced AWS Engineer with strong expertise in Infrastructure as Code (IaC) using AWS CDK and CloudFormation. The ideal candidate should have hands-on experience with AWS architecture design automation and AI-related services along with working knowledge of TypeScript or for CDK-based development.

Key Responsibilities

Design implement and manage AWS cloud infrastructure using AWS CDK and CloudFormation.

Develop and maintain reusable IaC templates for multi-account and multi-environment setups.

Work on provisioning and configuration of core AWS services EC2 Lambda API Gateway S3 DynamoDB RDS IAM VPC and CloudWatch.

Collaborate with architects to translate design blueprints into automated deployments.

Integrate AWS AI and ML services (e.g. Amazon Bedrock SageMaker Comprehend Rekognition) into application environments.

Ensure security scalability and compliance best practices are followed in all infrastructure components.

Troubleshoot infrastructure issues perform deployment testing and optimize CI/CD pipelines.

Create and maintain detailed infrastructure documentation.

Required Skills

Strong proficiency with AWS CDK (TypeScript/Python) and AWS CloudFormation.

Solid understanding of AWS core services: compute storage networking and IAM.

Experience with serverless architectures (Lambda API Gateway DynamoDB).

Familiarity with AWS AI/ML services such as Bedrock SageMaker or Kendra.

Working knowledge of TypeScript or React (for reviewing and integrating IaC or front-end components).

Experience with CI/CD automation using CodePipeline GitHub Actions or similar tools.

Good understanding of security controls (KMS WAF Cognito VPC security).

Good-to-Have

Exposure to multi-account AWS environments or Control Tower setup.

Understanding of Bedrock Guardrails or AI model deployment lifecycle.

Experience with Terraform (optional).

Familiarity with containerization (ECS ECR or Fargate).

Soft Skills

Strong problem-solving and analytical skills.

Good communication and documentation ability.

Self-driven detail-oriented and comfortable in collaborative setups.

Education

Bachelors degree in Computer Science Information Technology or equivalent.