Senior AWS Migration Engineer with Gen AI

We are looking for a Senior AWS Migration Engineer with Gen AI to modernize on-prem applications on AWS with secure, cost-aware designs. You will lead migration planning and delivery using AWS migration tools, IaC, and CI/CD while applying Amazon Bedrock, SageMaker, and OpenAI APIs to cloud workloads.

Responsibilities

• Lead full-lifecycle migrations of on-prem applications to AWS using Rehost, Replatform, and Refactor paths
• Assess current infrastructure, map dependencies, and shape the migration approach
• Design scalable AWS architectures that balance security, performance, and cost optimization
• Execute hands-on migrations with AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync, and Snowball
• Build and maintain cloud infrastructure through Terraform or CloudFormation (Infrastructure as Code)
• Automate build and release workflows using GitLab CI, Jenkins, and CodePipeline
• Implement observability using CloudWatch, CloudTrail, and Prometheus for monitoring and logging
• Integrate AI/ML features into cloud workloads for chatbots, automation, and data insights
• Apply Generative AI capabilities using Amazon Bedrock, SageMaker, and OpenAI APIs
• Drive DevOps and migration automation using AI-enabled approaches

Requirements

• Proven 5-8 years of professional experience in cloud engineering and migration initiatives
• Deep expertise with AWS compute services such as EC2, Lambda, and ECS/EKS
• Hands-on experience with AWS storage offerings including S3, EBS, and EFS
• Solid knowledge of AWS database services like RDS, Aurora, and DynamoDB
• Strong background in AWS networking across VPC, VPN, and Direct Connect
• Practical understanding of AWS security services including IAM, KMS, and Secrets Manager
• Demonstrated experience with AWS migration tools such as MGN, DMS, and DataSync/Snowball
• Proficiency in Infrastructure as Code using Terraform or CloudFormation
• Working knowledge of CI/CD tools including GitLab CI, Jenkins, and CodePipeline
• Familiarity with 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