Lead/Senior Cloud Native Developer - AWS

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