Senior AWS Migration Engineer with Gen AI

Office in India: Pune,

Amazon Web Services

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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