Senior AWS Migration Engineer with Gen AI

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

We Offer

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)

About the Company

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