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Senior AWS Migration Engineer with Gen AI

Office in India: Pune, & 5 others
Amazon Web Services& 7 others
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We are looking for a Senior AWS Migration Engineer with Gen AI to move on-prem systems to AWS and embed AI-driven capabilities into cloud solutions. You will run assessments, implement MGN/DMS/DataSync/Snowball migrations, and deliver IaC, CI/CD, and monitoring with CloudWatch/CloudTrail/Prometheus—apply today.

Responsibilities
  • Direct end-to-end migrations from on-prem environments to AWS using Rehost, Replatform and Refactor approaches
  • Evaluate existing infrastructure, uncover dependencies and set the migration strategy
  • Architect scalable, secure and cost-optimized AWS solutions
  • Operate AWS migration tools including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync and Snowball to complete moves
  • Provision and manage cloud infrastructure through Terraform or CloudFormation
  • Set up and maintain CI/CD automation using GitLab CI, Jenkins and CodePipeline
  • Deploy monitoring and logging via CloudWatch, CloudTrail and Prometheus
  • Embed AI/ML capabilities into cloud workloads such as chatbots, automation and data insights
  • Leverage Generative AI services in AWS including Amazon Bedrock, SageMaker and OpenAI APIs
  • Implement AI-driven automation to improve DevOps and migration processes
Requirements
  • Extensive 5 to 8 years of professional experience in cloud engineering and migration
  • Deep expertise in AWS compute services including EC2, Lambda and ECS/EKS
  • Strong proficiency with AWS storage services such as S3, EBS and EFS
  • Solid knowledge of AWS database services including RDS, Aurora and DynamoDB
  • Hands-on background in AWS networking with VPC, VPN and Direct Connect
  • Strong command of AWS security services including IAM, KMS and Secrets Manager
  • Practical experience using AWS migration tools such as MGN, DMS and DataSync/Snowball
  • Hands-on competency in Infrastructure as Code using Terraform or CloudFormation
  • Experience with CI/CD tools including GitLab CI, Jenkins and CodePipeline
  • Familiarity with monitoring and logging tools such as CloudWatch, CloudTrail and Prometheus
  • Basic to intermediate experience with Generative AI services including Amazon Bedrock, SageMaker and OpenAI APIs
  • Understanding of prompt engineering and LLM-based application use cases