AWS Infrastructure Engineer

Senior AWS Cloud & AI Architect

Location: Chennai

Experience: 8+ Years

AWS: 5+ Years

Amazon Bedrock: 1 2 Years Hands-on

Role: Senior AWS Cloud & AI Architect

Job Summary

We are looking for a hands-on Senior AWS Cloud & AI Architect to lead AWS architecture, Generative AI implementation, advanced troubleshooting, and technical interviews.

Key Responsibilities

• Design and implement scalable, secure AWS cloud architectures across multiple services.
• Build Generative AI solutions using Amazon Bedrock, including:
• Knowledge Bases
• Agents
• Guardrails
• RAG
• Foundation Models such as Claude/Llama
• Architect containerized applications using ECS, Fargate and ECR.
• Design highly available Windows workloads using EC2 Auto Scaling, SSM and FSx for Windows.
• Design and troubleshoot AWS networking using VPC, Route 53, Transit Gateway, PrivateLink and ALB/NLB.
• Manage AWS security using IAM, KMS, Secrets Manager, WAF and GuardDuty.
• Troubleshoot complex infrastructure, networking, ECS, IAM and Bedrock issues.
• Lead technical interviews and assessments for Cloud, DevOps and AI/ML candidates.

Mandatory Skills

• 8+ years overall cloud/infrastructure experience.
• 5+ years strong AWS experience.
• 1 2 years hands-on Amazon Bedrock experience.
• Strong Bedrock Knowledge Bases, Agents & Guardrails experience.
• Hands-on GenAI / RAG / Vector Embeddings experience.
• Strong AWS architecture, networking and security knowledge.
• Experience with ECS/Fargate/ECR.
• Experience with Windows Server, EC2 Auto Scaling, SSM & FSx.
• Excellent troubleshooting and RCA skills.
• Strong communication and technical interview skills.
• AWS Solutions Architect Associate or Professional certification preferred.
  
  

Key AWS Services

Bedrock | EC2 | ECS | ECR | Fargate | Lambda | S3 | RDS | DynamoDB | OpenSearch | VPC | Route 53 | ALB/NLB | Transit Gateway | PrivateLink | IAM | KMS | CloudWatch | SSM | CloudFormation | SQS | SNS | EventBridge | Step Functions

Ideal Profile

AWS Architecture + Amazon Bedrock + GenAI/RAG + Containers + Windows + Networking + Security + Troubleshooting

Candidates must have hands-on Amazon Bedrock implementation experience, not just traditional AWS infrastructure exposure.