Senior AWS Migration Engineer with Gen AI

EPAM · Pune

Source and collection record

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: bltuu4i9uvo3fd460da

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Collected role description

We are hiring a Senior AWS Migration Engineer with Gen AI to migrate on-prem applications to AWS and modernize workloads with AI features. You will shape migration strategy, build secure AWS architectures, and automate delivery with IaC and CI/CD while using Amazon Bedrock, SageMaker, and OpenAI APIs—apply now. Responsibilities Lead full lifecycle migrations of on-prem applications to AWS using Rehost, Replatform and Refactor approaches Assess current infrastructure, map dependencies and define a migration strategy Design scalable, secure and cost-optimized AWS architectures Execute hands-on migrations using AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync and Snowball Build and manage infrastructure as code with Terraform or CloudFormation Automate deployment workflows with GitLab CI, Jenkins and CodePipeline Implement observability 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 across DevOps and migration processes Requirements Proven 5 to 8 years of professional experience in cloud engineering and migration Expert-level knowledge of AWS compute services including EC2, Lambda and ECS/EKS Hands-on proficiency with AWS storage services such as S3, EBS and EFS Solid understanding of AWS database services including RDS, Aurora and DynamoDB Strong background in AWS networking with VPC, VPN and Direct Connect Practical expertise in AWS security services including IAM, KMS and Secrets Manager Hands-on experience with AWS migration tools such as MGN, DMS and DataSync/Snowball Demonstrated competency in Infrastructure as Code using Terraform or CloudFormation Working knowledge of CI/CD tools including GitLab CI, Jenkins and CodePipeline Good 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 Knowledge of prompt engineering and LLM-based application use cases

Collected experience requirement

5-8 years