We are seeking a Senior AWS Migration Engineer with Gen AI expertise to lead the end-to-end migration of on-premises applications to AWS while integrating modern AI capabilities into cloud workloads. The ideal candidate will combine strong cloud architecture skills with hands-on experience in AWS migration tools, automation and emerging Generative AI services to deliver scalable, secure and cost-optimized solutions.
Responsibilities
- Lead end-to-end migration of on-prem applications to AWS using Rehost, Replatform and Refactor approaches
- Assess existing infrastructure, identify dependencies and define migration strategy
- Design scalable, secure and cost-optimized AWS architectures
- Perform hands-on work with AWS migration tools such as AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync and Snowball
- Build and manage infrastructure using Infrastructure as Code with Terraform or CloudFormation
- Automate deployment pipelines using CI/CD tools including GitLab CI, Jenkins and CodePipeline
- Implement monitoring and logging using 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
- 5 to 8 years of professional experience in cloud engineering and migration
- Expertise in AWS compute services including EC2, Lambda and ECS/EKS
- Proficiency in AWS storage services such as S3, EBS and EFS
- Knowledge of AWS database services including RDS, Aurora and DynamoDB
- Background in AWS networking with VPC, VPN and Direct Connect
- Skills in AWS security services including IAM, KMS and Secrets Manager
- Hands-on experience with AWS migration tools such as MGN, DMS and DataSync/Snowball
- Competency in Infrastructure as Code using Terraform or CloudFormation
- Familiarity with CI/CD tools including GitLab CI, Jenkins and CodePipeline
- 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
