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EPAM
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Senior AWS Migration Engineer with Gen AI

EPAMPune, India; Bengaluru, India; Hyderabad, India; Gurugram, India; Chennai, India; Coimbatore, India
Work model
Office
Experience
5-8 years
Employment
Not specified
Compensation
Not disclosed
Technology signal
19 tags

Technology context

19

Parsed from the vacancy text; ordered by relevance to this role.

AILLMAWSGenAIDatabasesMachine LearningCloudDevOpsScalabilityTerraformJenkinsCI/CDPrometheusAutomationAWS Cost ManagementAWS IAMDMSGenerative AI FundamentalsScripting Languages

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Role description

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