Senior AWS Migration Engineer with Gen AI

About the Position

We are seeking a Senior AWS Migration Engineer with Gen AI to lead cloud migrations to AWS and introduce generative AI features into production workloads. You will design AWS architectures, implement Terraform/CloudFormation, and automate delivery with GitLab CI/Jenkins/CodePipeline while applying Bedrock, SageMaker, and OpenAI APIs-apply now.

Responsibilities

• Lead end-to-end migrations of on-prem applications to AWS using Rehost, Replatform, and Refactor approaches
• Review existing infrastructure, identify dependencies, and define the migration strategy
• Design scalable, secure, and cost-optimized AWS architectures
• Run migrations using AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync, and Snowball
• Create and manage Infrastructure as Code with Terraform or CloudFormation
• Develop CI/CD automation with GitLab CI, Jenkins, and CodePipeline
• Implement monitoring and logging 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 in DevOps and migration processes

Requirements

• Documented 5 to 8 years of professional experience in cloud engineering and migration
• Advanced expertise in AWS compute services including EC2, Lambda, and ECS/EKS
• Proficiency with AWS storage services such as S3, EBS, and EFS
• Strong knowledge of AWS database services including RDS, Aurora, and DynamoDB
• Sound background in AWS networking with VPC, VPN, and Direct Connect
• Experience with AWS security services including IAM, KMS, and Secrets Manager
• Hands-on work with AWS migration tools such as MGN, DMS, and DataSync/Snowball
• Solid competency in Infrastructure as Code using Terraform or CloudFormation
• Proven use of CI/CD tools including GitLab CI, Jenkins, and CodePipeline
• Working 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
• Familiarity with 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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