Back to SearchSenior AWS Migration Engineer with Gen AI
Office in India: Pune, & 5 others
Amazon Web Services& 7 others
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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