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

About the Position

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, Load Balancers, 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