Lead/Senior Cloud Native Developer - AWS

EPAM Systems; Coimbatore District; On-site; INR 2,600,000 - 5,200,000; Full time

Job summary

EPAM Systems seeks 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 GenAI capabilities into enterprise applications.

Responsibilities include designing infrastructure with AWS CDK, migrating code from Terraform or CFT, and building serverless services like Lambda, API Gateway and DynamoDB while ensuring

Qualifications

• Must have 5 to 12 years of overall experience.
• Proven track record in developing and managing AWS cloud platforms and services.
• Expertise in AWS CDK for secure, scalable infrastructure design.
• Proficient IaC development using Java with AWS CDK.
• Experience automating provisioning with AWS CDK and migrating code from Terraform/CFT.

Responsibilities

• Design and implement cloud infrastructure solutions using AWS CDK with security in mind.
• Develop and manage AWS cloud platforms and services.
• Write and manage IaC using Java with the AWS CDK.
• Migrate code from Terraform or CFT to AWS CDK.
• Automate platform provisioning using AWS Java CDK and CDK-based tools.
• Build serverless and cloud-native services (Lambda, API Gateway, DynamoDB, S3, IAM, etc.).
• Automate processes using orchestration tools like Java, CDK, Terraform, and CloudFormation.
• Handle data formats (JSON, YAML) and data types.
• Perform unit testing and debugging of applications.
• Build GenAI-enabled apps, AI workflows, chatbots, or copilots using LLM APIs.

Skills

AWS CDK

Java

Terraform

CloudFormation

GenAI

LLMs

APIs

Git

CI/CD

Security

Tools

Terraform

CloudFormation

GitHub

GitLab

Bitbucket

AWS CodeCommit

Kubernetes

Docker

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