AWS Engineer – Infrastructure as Code
2 days ago
Location: Pan India (Preferred Noida)
Experience: 37 Years
Role SummaryWe are seeking an experienced AWS Engineer with deep expertise in Infrastructure as Code (IaC) using AWS CDK and CloudFormation.
The ideal candidate should have strong hands-on experience in AWS architecture design, automation, and AI/ML service integration, 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. (Must Have)
- Develop and maintain reusable IaC templates for multi-account and multi-environment setups. (Must Have)
- Provision and configure core AWS services EC2, Lambda, API Gateway, S3, DynamoDB, RDS, IAM, VPC, and CloudWatch. (Must Have)
- Collaborate with architects to translate design blueprints into automated deployments.
- Integrate AWS AI/ML services (Amazon Bedrock, SageMaker, Comprehend, Rekognition) into application environments. (Must Have)
- Ensure security, scalability, and compliance best practices across infrastructure components.
- Troubleshoot infrastructure issues, perform deployment testing, and optimize CI/CD pipelines.
- Create and maintain detailed infrastructure documentation.
- 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 (Familiarity is must).
- Working knowledge of TypeScript, , or React (for IaC or front-end integration).
- Hands-on experience with CI/CD automation (CodePipeline, GitHub Actions, etc.).
- Strong grasp of security controls KMS, WAF, Cognito, and 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 ECS, ECR, or Fargate.
Soft Skills
- Strong problem-solving and analytical skills.
- Excellent communication and documentation abilities.
- Self-driven, detail-oriented, and a collaborative team player.
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