Senior AWS Migration Engineer with Gen AI

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

Benefits

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.)