Senior AWS Migration Engineer with Gen AI
Primary stack
Nice to have's
Job description
About the Position
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
Locations
- Pune, India
- 5 other locations in India
We Offer
- Competitive salary
- Opportunity to work with cutting-edge technologies
- Professional growth and development
- Collaborative and innovative work environment
About the Company
Amazon Web Services (AWS) is a comprehensive and widely adopted cloud platform that provides a broad set of global services including compute, storage, databases, analytics, networking, mobile, developer tools, management tools, IoT, security, and enterprise applications. AWS offers these services to individuals, startups, and enterprises in over 245 countries and territories.
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