Senior AWS Migration Engineer

EPAM Systems; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

EPAM Systems is seeking a Senior AWS Migration Engineer with Gen AI to transition on-premises systems to AWS and embed AI capabilities into cloud solutions.

You will assess environments, migrate with MGN, DMS, DataSync and Snowball, automate via CI/CD and IaC (Terraform or CloudFormation), and utilize Bedrock, SageMaker and OpenAI APIs to enable Generative AI scenarios.

Qualifications

• 5-8 years of cloud engineering and migration experience.
• Hands-on AWS compute (EC2, Lambda, ECS/EKS) expertise.
• Proficiency with S3, EBS, EFS.
• Experience with RDS/Aurora/DynamoDB.
• Networking: VPC, VPN, Direct Connect.
• Security: IAM, KMS, Secrets Manager.
• Migration tools: MGN, DMS, DataSync, Snowball.
• IaC: Terraform or CloudFormation.
• CI/CD: GitLab CI, Jenkins, CodePipeline.
• Monitoring: CloudWatch, CloudTrail, Prometheus.
• Gen AI: Bedrock, SageMaker, OpenAI APIs.
• Prompt engineering and LLM-based use cases.

Responsibilities

• Deliver end-to-end on-prem migrations to AWS using rehost, replatform and refactor strategies.
• Assess environments, dependencies and migration direction.
• Design secure, scalable, cost-optimized AWS architectures.
• Operate migration tools like MGN, DMS, DataSync, Snowball.
• Build environments as code with Terraform or CloudFormation.
• Automate delivery pipelines with GitLab CI, Jenkins and CodePipeline.
• Implement monitoring with CloudWatch, CloudTrail and Prometheus.
• Embed AI/ML into cloud workloads and automate DevOps tasks.
• Leverage Bedrock, SageMaker and OpenAI APIs for Generative AI scenarios.

Skills

AWS EC2/Lambda/ECS-EKS

Storage S3/EBS/EFS

Database RDS/Aurora/DynamoDB

Networking VPC/VPN/Direct Connect

IAM/KMS/Secrets Manager

Migration tools MGN/DMS/DataSync/Snow

Terraform/CloudFormation

CI/CD GitLab/Jenkins/CodePipeline

Monitoring CloudWatch/CloudTrail/Prom

Gen AI Bedrock/SageMaker/OpenAI

Prompt engineering

Tools

GitLab CI

Jenkins

CodePipeline

Job description

We are searching for a Senior AWS Migration Engineer with Gen AI to transition on-prem systems to AWS and embed AI capabilities into cloud solutions. You will assess environments, migrate with MGN/DMS/DataSync/Snowball, automate via CI/CD and Terraform or CloudFormation, and use Amazon Bedrock, SageMaker, and OpenAI APIs.

Responsibilities

• Deliver end-to-end on-prem application migrations to AWS using Rehost, Replatform, and Refactor strategies
• Assess current infrastructure, identify system dependencies, and set the migration direction
• Design AWS architectures that are secure, scalable, and cost-optimized
• Operate AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), AWS DataSync, and Snowball to move workloads and data
• Build and manage cloud environments using Terraform or CloudFormation for IaC
• Automate delivery pipelines with GitLab CI, Jenkins, and CodePipeline
• Implement monitoring and logging using CloudWatch, CloudTrail, and Prometheus
• Integrate AI/ML functionality into cloud workloads including chatbots, automation, and data insights
• Use Amazon Bedrock, SageMaker, and OpenAI APIs to implement Generative AI scenarios
• Drive AI-based automation across DevOps activities and migration execution

Requirements

• Track record of 5-8 years of professional experience in cloud engineering and migration work
• Deep hands-on expertise with AWS compute services such as EC2, Lambda, and ECS/EKS
• Proficiency in AWS storage technologies including S3, EBS, and EFS
• Knowledge of AWS database services including RDS, Aurora, and DynamoDB
• Experience in AWS networking using VPC, VPN, and Direct Connect
• Understanding of AWS security services including IAM, KMS, and Secrets Manager
• Hands-on experience with AWS migration tools such as MGN, DMS, and DataSync/Snowball
• Ability to build Infrastructure as Code with Terraform or CloudFormation
• Experience using 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