Senior AWS Migration Engineer

EPAM Systems; Gurgaon; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

EPAM Systems Senior AWS Migration Engineer with Gen AI is sought to modernize on-prem apps on AWS, leading migration planning and delivery using AWS tools, IaC, and CI/CD while applying Bedrock, SageMaker, and OpenAI APIs to cloud workloads.

You will design scalable AWS architectures, execute migrations with MGN, DMS, DataSync, and Snowball, and build IaC with Terraform or CloudFormation while driving automation with GitLab CI, Jenkins, and CodePipeline.

Qualifications

• 5–8 years of professional cloud engineering and migration experience.
• Deep expertise with AWS compute, storage, database, and networking services.
• Experience with migration tools, IaC, and CI/CD pipelines.

Responsibilities

• Lead full-lifecycle migrations of on-prem apps to AWS using rehost, replatform, and refactor paths.
• Assess infrastructure, map dependencies, and shape migration approach.
• Design scalable AWS architectures balancing security, performance, and cost.
• Execute migrations with AWS MGN, DMS, DataSync, and Snowball.
• Build and maintain cloud infra with Terraform or CloudFormation.
• Automate build and release workflows with GitLab CI, Jenkins, and CodePipeline.
• Implement observability with CloudWatch and Prometheus.
• Integrate Gen AI features using Bedrock, SageMaker, and OpenAI APIs.
• Drive DevOps and migration automation with AI-enabled approaches.

Skills

AWS Migrations

Gen AI

Terraform

CloudFormation

CI/CD

GitLab CI

Jenkins

SageMaker

Bedrock

OpenAI APIs

Prometheus

Tools

Terraform

CloudFormation

GitLab CI

Jenkins

CodePipeline

MGN

DMS

DataSync

Snowball

CloudWatch

Prometheus

Job description

Job Description:

We are looking for a Senior AWS Migration Engineer with Gen AI to modernize on-prem applications on AWS with secure, cost-aware designs. You will lead migration planning and delivery using AWS migration tools, IaC, and CI/CD while applying Amazon Bedrock, SageMaker, and OpenAI APIs to cloud workloads.

Responsibilities

• Lead full-lifecycle migrations of on-prem applications to AWS using Rehost, Replatform, and Refactor paths
• Assess current infrastructure, map dependencies, and shape the migration approach
• Design scalable AWS architectures that balance security, performance, and cost optimization
• Execute hands‑on migrations with AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync, and Snowball
• Build and maintain cloud infrastructure through Terraform or CloudFormation (Infrastructure as Code)
• Automate build and release workflows using GitLab CI, Jenkins, and CodePipeline
• Implement observability using CloudWatch, CloudTrail, and Prometheus for monitoring and logging
• Integrate AI/ML features into cloud workloads for chatbots, automation, and data insights
• Apply Generative AI capabilities using Amazon Bedrock, SageMaker, and OpenAI APIs
• Drive DevOps and migration automation using AI-enabled approaches

Requirements

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