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AWS Infrastructure Architect

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Summary

Hands-on Senior AWS Cloud & AI Architect in Chennai: designs scalable AWS infrastructure, builds Generative AI solutions on Amazon Bedrock (RAG, Agents, Guardrails), hosts highly available Windows apps on EC2/ECS, and leads technical interviews. Requires 8+ years of cloud experience.

Senior AWS Cloud & AI Architect

Location: Chennai
Experience: 8+ Years

Job Overview

We are looking for a hands-on Senior AWS Cloud & AI Architect to design scalable cloud infrastructure, implement Generative AI solutions, and lead technical interviews. The role focuses on Amazon Bedrock, Windows application hosting, ECS containers, and advanced troubleshooting.

Key Responsibilities
  • Design and implement Generative AI solutions using Amazon Bedrock, RAG, Knowledge Bases, Agents, and Guardrails.

  • Manage highly available Windows applications using EC2 Auto Scaling, SSM, and FSx for Windows.

  • Build and optimize containerized applications using Amazon ECS, Fargate, and ECR.

  • Troubleshoot complex AWS infrastructure, networking, IAM, Windows IIS, container, and Bedrock issues.

  • Lead technical interviews and assessments for Cloud, DevOps, and AI/ML candidates.

Required Technical Skills
  • AWS & GenAI: Amazon Bedrock, Knowledge Bases, Agents, Guardrails, SageMaker, OpenSearch Vector Engine.

  • Compute & Containers: EC2, ECS, ECR, Fargate, Lambda, API Gateway, Auto Scaling.

  • Networking: VPC, Route 53, CloudFront, ALB/NLB, Transit Gateway, PrivateLink.

  • Storage & Databases: S3, EBS, EFS, FSx for Windows, RDS, Aurora, DynamoDB, ElastiCache.

  • Monitoring & Governance: CloudWatch, CloudTrail, SSM, AWS Config, Control Tower, Organizations.

  • Security: IAM, KMS, Secrets Manager, WAF, Shield, GuardDuty.

  • DevOps & Integration: Azure DevOps, CloudFormation, SQS, SNS, EventBridge, Step Functions.

Qualifications
  • 8+ years of cloud architecture experience, including at least 5 years of hands-on AWS experience.

  • 1-2 years of hands-on Amazon Bedrock experience.

  • Strong knowledge of foundation models such as Claude and Llama, embeddings, vector databases, and context window management.

  • Experience with Windows Server auto-scaling, ECS task optimization, and complex production troubleshooting.

  • AWS Certified Solutions Architect - Associate or Professional preferred.



Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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