Lead/Senior Cloud Native Developer - AWS

EPAM Systems; Maharashtra; On-site; INR 4,200,000 - 6,600,000; Full time

Job summary

EPAM Systems is seeking a Lead/Senior Cloud Native Developer to design and build secure, scalable cloud solutions on AWS using Java and GenAI technologies.

You will drive cloud-native development, infrastructure automation and the integration of GenAI capabilities into enterprise applications, with focus on security and scalable design. This role demands hands-on expertise in AWS CDK, IaC, and serverless services across the AWS stack.

Qualifications

• 5–12 years of overall experience.
• Over 5 years of experience in developing and managing AWS cloud platforms and services.
• Expertise in designing and implementing cloud infrastructure using AWS CDK with security.
• Proficiency in IaC using Java and AWS CDK.
• Hands-on automation with AWS CDK and migrating code from Terraform/CFT to CDK.
• Experience with serverless and cloud-native AWS services (Lambda, API Gateway, S3, DynamoDB, etc.).
• Proficiency with JSON, YAML and data types.
• Experience with GitHub/GitLab/Bitbucket and AWS CodeCommit.
• Knowledge of GenAI concepts and enterprise use cases.
• Exposure to OpenAI, Anthropic Claude, AWS Bedrock or similar GenAI platforms.

Responsibilities

• Design and implement cloud infrastructure using AWS CDK with security best practices.
• Develop and manage AWS cloud platforms and services.
• Write IaC using Java with AWS CDK.
• Migrate code from Terraform or CFT to AWS CDK.
• Automate platform provisioning with AWS Java CDK.
• Build serverless and cloud-native services (Lambda, API Gateway, S3, etc.).
• Automate processes using CDK, Terraform and CloudFormation.
• Handle various data formats and types in code.
• Perform unit testing and debugging of applications.
• Build GenAI-enabled apps and AI workflows using LLM APIs.

Skills

Cloud architecture

GenAI concepts

AWS CDK

Java development

IaC automation

Security best practices

CI/CD pipelines

Git tooling

Tools

Terraform

CloudFormation

GitHub

GitLab

Bitbucket

Kubernetes

Docker

Jenkins

Job description

We are looking for a Lead/Senior Cloud Native Developer to design and build secure, scalable cloud solutions on AWS using Java and Generative AI technologies. In this role, you will drive cloud-native development, infrastructure automation and the integration of cutting-edge GenAI capabilities into enterprise applications.

Responsibilities

• Design and implement cloud infrastructure solutions using the AWS CDK with a focus on best practices and robust security measures
• Develop and manage AWS cloud platforms and services
• Write and manage Infrastructure as Code (IaC) using Java with the AWS Cloud Development Kit
• Migration of code from Terraform or CFT to AWS CDK
• Automation of platform provisioning with AWS Java CDK
• Build serverless and cloud-native services including Lambda functions, SNS, SQS, DynamoDB, API Gateway, Step Functions, S3, IAM, CloudWatch, CloudTrail and KMS
• Automate processes using AWS orchestration tools such as Java, CDK, Terraform and CloudFormation
• Handle various data formats and data types with the use of loops and conditional statements
• Perform unit testing and debugging of applications
• Build small GenAI-enabled applications, AI workflows, chatbots, copilots or automation solutions using LLM APIs and orchestration frameworks

Requirements

• 5 to 12 years of overall experience
• Over 5 years of experience in developing and managing AWS cloud platforms and services
• Expertise in designing and implementing cloud infrastructure solutions using the AWS CDK with best practices and security measures
• Proficiency in writing and managing Infrastructure as Code (IaC) using Java with the AWS Cloud Development Kit
• Hands‑on experience in automating platform provisioning with AWS Java CDK and migrating code from Terraform or CFT to AWS CDK
• Comprehensive development skills in serverless and cloud-native services including Lambda functions, SNS, SQS, DynamoDB, API Gateway, Step Functions, S3, IAM, CloudWatch, CloudTrail and KMS
• Capability to automate processes using AWS orchestration tools such as Java, CDK, Terraform and CloudFormation
• Proficiency in handling various data formats including JSON, YAML and files along with data types such as strings, numbers, arrays and tuples
• Strong unit testing and debugging capabilities
• Skills in Source Code Management tools such as GitLab, GitHub, Bitbucket and AWS CodeCommit
• Understanding of Generative AI concepts, LLMs and prompt engineering with practical enterprise use cases
• Hands‑on exposure to AI platforms and services such as OpenAI, Anthropic Claude and AWS Bedrock or similar cloud‑native GenAI offerings
• Familiarity with orchestration frameworks such as LangChain, LangGraph and Semantic Kernel along with AI‑assisted engineering tools such as GitHub Copilot, ChatGPT and Cursor

Nice to have

• Hands‑on development experience in Docker and Container Orchestration using Kubernetes on AWS EKS or AWS ECS
• Production experience with NoSQL data stores, AWS Elastic Cache, RDS and DynamoDB
• Familiarity with AWS Core Services such as EC2, Autoscaling and Load Balancers along with Route53, S3, IAM and VPC
• Capability to write scripts in Linux, shell or Python and use Configuration Management tools like Ansible, Chef or Puppet
• Experience with Build Automation Servers such as Jenkins, GitLab CI and Sonar along with Elasticsearch, Logstash and Kibana stacks