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Senior AWS Migration Engineer with Gen AI

at Epam

India, Hyderabad, senior, 5–8 years

seen 31d ago

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  • S3
  • Secrets Manager
  • AWS DataSync
  • AWS Database Migration Service
  • VPC
  • Prometheus
  • Direct Connect
  • LLM
  • Aurora
  • EFS
  • Terraform
  • EC2
  • VPN
  • EBS
  • OpenAI APIs
  • AWS CodePipeline
  • AWS
  • CloudTrail
  • AWS Application Migration Service
  • AWS Lambda
  • RDS
  • CloudFormation
  • DynamoDB
  • EKS
  • SageMaker
  • Jenkins
  • KMS
  • Snowball
  • Prompt Engineering
  • ECS
  • IAM
  • CloudWatch
  • GitLab CI
  • Amazon Bedrock

About the role

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Senior AWS Migration Engineer with Gen AI

Office in India: Pune, & 5 others

Amazon Web Services& 7 others

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Senior AWS Migration Engineer with Gen AI

Location-specific conditions & benefits*

India: Hyderabad

apply

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Senior AWS Migration Engineer with Gen AI\ \ India, Hyderabad\ \ \ \

Senior AWS Migration Engineer with Gen AI\ \ India, Hyderabad\ \ \ \

Senior AWS Migration Engineer with Gen AI\ \ India, Hyderabad\ \ \ \

Senior AWS Migration Engineer with Gen AI\ \ India, Hyderabad\ \ \ \

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Location-specific conditions & benefits*

India: Hyderabad

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are building a team around a Senior AWS Migration Engineer with Gen AI to move on-prem workloads to AWS and enhance solutions with modern AI services. You will plan and execute migrations, codify infrastructure in Terraform/CloudFormation, and implement observability and CI/CD while using Bedrock, SageMaker, and OpenAI APIs—apply today.

What you would do

* Own end-to-end migration of on-prem applications to AWS using Rehost, Replatform and Refactor approaches

Read from careers.epam.com, last seen 5d ago.

* Assess current infrastructure, identify dependencies and define a migration strategy

* Design scalable, secure and cost-optimized AWS architectures

* Apply AWS migration tools such as AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync and Snowball in delivery

* Manage infrastructure via Infrastructure as Code using Terraform or CloudFormation

* Implement CI/CD automation with GitLab CI, Jenkins and CodePipeline

* Set up monitoring and logging using CloudWatch, CloudTrail and Prometheus

* Integrate AI/ML capabilities into cloud workloads such as chatbots, automation and data insights

* Use Generative AI services in AWS including Amazon Bedrock, SageMaker and OpenAI APIs

* Drive AI-driven automation within DevOps and migration processes

What they are looking for

* At least 5 to 8 years of professional experience in cloud engineering and migration

* Expertise across AWS compute services including EC2, Lambda and ECS/EKS

* Hands-on proficiency in AWS storage services such as S3, EBS and EFS

* Strong knowledge of AWS database services including RDS, Aurora and DynamoDB

* Practical background in AWS networking with VPC, VPN and Direct Connect

* Hands-on experience with AWS security services including IAM, KMS and Secrets Manager

* Demonstrated experience with AWS migration tools such as MGN, DMS and DataSync/Snowball

* Competency in Infrastructure as Code using Terraform or CloudFormation

* Experience using CI/CD tools including GitLab CI, Jenkins and CodePipeline

* Knowledge 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

* Understanding of prompt engineering and LLM-based application use cases

What comes with it

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

* Health benefits * Retirement benefits * Paid time off * Flexible benefits

Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)