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
Benefits
Opportunity to work on technical challenges that may impact across geographies
Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
Opportunity to share your ideas on international platforms
Sponsored Tech Talks & Hackathons
Unlimited access to LinkedIn learning solutions
Possibility to relocate to any EPAM office for short and long-term projects
Focused individual development
Benefit package:
- Health benefits
- Retirement benefits
- Paid time off
- Flexible benefits
Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)