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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 hiring a Senior AWS Migration Engineer with Gen AI to migrate on-prem applications to AWS and modernize workloads with AI features. You will shape migration strategy, build secure AWS architectures, and automate delivery with IaC and CI/CD while using Amazon Bedrock, SageMaker, and OpenAI APIs - apply now.

Responsibilities

  • Lead full lifecycle migrations of on-prem applications to AWS using Rehost, Replatform and Refactor approaches
  • Assess current infrastructure, map dependencies and define a migration strategy
  • Design scalable, secure and cost-optimized AWS architectures
  • Execute hands-on migrations using AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync and Snowball
  • Build and manage infrastructure as code with Terraform or CloudFormation
  • Automate deployment workflows with GitLab CI, Jenkins and CodePipeline
  • Implement observability 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 across DevOps and migration processes

Requirements

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