Lead/Senior Cloud Native Developer - AWS with Java & Gen AI

EPAM Systems; India; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

EPAM Systems is seeking a Lead/Senior Cloud Native Developer in India to design and build secure, scalable cloud solutions on AWS using Java and Generative AI technologies. This role focuses on cloud-native development, infrastructure automation, and integrating leading GenAI capabilities into enterprise applications.

The ideal candidate has 5 to 12 years of experience with a robust background in AWS cloud platforms and services, Infrastructure as Code, and AI technologies. This position offers the chance to develop cutting-edge solutions in a dynamic environment.

Qualifications

• 5 to 12 years of overall experience in IT and cloud development.
• Expertise in AWS cloud infrastructure design and security best practices.
• Strong experience with Java and AWS CDK for Infrastructure as Code.

Responsibilities

• Design and implement cloud infrastructure solutions using AWS CDK.
• Develop and manage AWS cloud platforms and services.
• Build small GenAI-enabled applications and manage AI workflows.

Skills

AWS cloud platforms and services

Java

Infrastructure as Code (IaC)

Generative AI technologies

Serverless services

Unit testing and debugging

Source Code Management (GitLab, GitHub)

Tools

AWS CDK

Terraform

Docker

Kubernetes

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.
• Migrate code from Terraform or CloudFormation Template (CFT) to AWS CDK.
• Automate 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 ELK stacks (Elasticsearch, Logstash and Kibana).