Job Description, Responsibilities & Requirements
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, DataSync, and 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
We Offer
- Competitive salary
- Opportunity to work with cutting-edge technologies
- Professional growth and development
About the Company
EPAM Systems is a global provider of digital platform and technology consulting services, delivering end-to-end technology solutions that enable clients to transform and run their business in the digital age.