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