Senior AWS Migration Engineer

Job description

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