Senior AWS Migration Engineer with Gen AI

We are hiring a Senior AWS Migration Engineer with Gen AI to move on-prem workloads to AWS and strengthen them with modern AI services. You will design the target AWS architecture, run MGN/DMS/DataSync/Snowball migrations, and automate delivery via Terraform or CloudFormation and GitLab CI/Jenkins/CodePipeline.

Responsibilities

• Own end-to-end migration delivery from on-prem to AWS using Rehost, Replatform, and Refactor techniques
• Evaluate existing environments, discover dependencies, and define the migration strategy
• Architect AWS solutions that are secure, scalable, and cost-optimized
• Operate AWS migration tools including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync, and Snowball
• Provision and manage infrastructure using Terraform or CloudFormation as IaC
• Create and refine CI/CD automation with GitLab CI, Jenkins, and CodePipeline
• Set up monitoring and logging with CloudWatch, CloudTrail, and Prometheus
• Embed AI/ML capabilities into AWS workloads to support chatbots, automation, and insight generation
• Use Generative AI services such as Amazon Bedrock, SageMaker, and OpenAI APIs in cloud solutions
• Advance AI-driven automation across DevOps and migration execution

Requirements

• Extensive 5-8 years of professional experience delivering cloud engineering and migration work
• Expert-level command of AWS compute platforms including EC2, Lambda, and ECS/EKS
• Practical proficiency with AWS storage services such as S3, EBS, and EFS
• Strong understanding of AWS databases, including RDS, Aurora, and DynamoDB
• Solid experience with AWS networking components like VPC, VPN, and Direct Connect
• Well-rounded knowledge of AWS security services including IAM, KMS, and Secrets Manager
• Hands-on practice with AWS migration tooling such as MGN, DMS, and DataSync/Snowball
• Strong capability with Infrastructure as Code in Terraform or CloudFormation
• Working experience with CI/CD solutions including GitLab CI, Jenkins, and CodePipeline
• Knowledge of monitoring and logging approaches using CloudWatch, CloudTrail, and Prometheus
• Basic to intermediate familiarity with Generative AI services including Amazon Bedrock, SageMaker, and OpenAI APIs
• Understanding of prompt engineering and LLM-based application use cases