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EPAM Systems Linkedin · Posted today

Lead/Senior Cloud Native Developer - AWS

India

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Indexed 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
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