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
Software Development and IT Services and IT Consulting
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