Senior AWS Migration Engineer with Gen AI

EPAM · Pune

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Last observed by our collector: 8 October 2026 at 11:23 pm IST. This is not a manual review or a confirmation from the employer.

Employer requisition: blthi5bbhq5xdsxkwmz

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Collected role description

We are seeking a Senior AWS Migration Engineer with Gen AI to lead cloud migrations to AWS and introduce generative AI features into production workloads. You will design AWS architectures, implement Terraform/CloudFormation, and automate delivery with GitLab CI/Jenkins/CodePipeline while applying Bedrock, SageMaker, and OpenAI APIs—apply now. Responsibilities Lead end-to-end migrations of on-prem applications to AWS using Rehost, Replatform and Refactor approaches Review existing infrastructure, identify dependencies and define the migration strategy Design scalable, secure and cost-optimized AWS architectures Run migrations using AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync and Snowball Create and manage Infrastructure as Code with Terraform or CloudFormation Develop CI/CD automation with GitLab CI, Jenkins and CodePipeline Implement monitoring and logging with CloudWatch, CloudTrail and Prometheus Integrate AI/ML capabilities into cloud workloads such as chatbots, automation and data insights Apply Generative AI services in AWS including Amazon Bedrock, SageMaker and OpenAI APIs Drive AI-driven automation in DevOps and migration processes Requirements Documented 5 to 8 years of professional experience in cloud engineering and migration Advanced expertise in AWS compute services including EC2, Lambda and ECS/EKS Proficiency with AWS storage services such as S3, EBS and EFS Strong knowledge of AWS database services including RDS, Aurora and DynamoDB Sound background in AWS networking with VPC, VPN and Direct Connect Experience with AWS security services including IAM, KMS and Secrets Manager Hands-on work with AWS migration tools such as MGN, DMS and DataSync/Snowball Solid competency in Infrastructure as Code using Terraform or CloudFormation Proven use of CI/CD tools including GitLab CI, Jenkins and CodePipeline Working understanding of monitoring and logging tools such as CloudWatch, CloudTrail and Prometheus Basic to intermediate exposure to Generative AI services including Amazon Bedrock, SageMaker and OpenAI APIs Familiarity with prompt engineering and LLM-based application use cases

Collected experience requirement

5-8 years