Aws Developer

Job Description

Role Summary: As an AWS Senior Developer, you will be responsible for designing, developing, and deploying serverless applications using AWS Lambda with Java Spring Boot. This role requires expertise in Kafka for event-driven architecture and a strong understanding of AWS integration services. You will play a key role in building and exposing APIs via AWS API Gateway/Manager, managing asynchronous integration processes, and optimizing cloud-native applications. Experience in a retail environment with Point of Sale (POS) or Order Management System (OMS) integrations is a plus. Key Responsibilities Develop and deploy scalable Spring Boot applications on AWS Lambda. Build, expose, and manage APIs via AWS API Gateway/Manager. Design and implement asynchronous integration processes using AWS messaging services like SNS, SQS, EventBridge, and Kinesis. Work with Kafka for event-driven architecture and real-time data streaming. Utilize AWS services such as DynamoDB, S3, IAM, CloudWatch, and CloudFormation for application development. Optimize AWS Lambda functions for performance and cost-efficiency. Troubleshoot and debug issues in a serverless environment. Collaborate with DevOps teams to integrate CI/CD pipelines and automate deployments. Ensure best practices in security, performance tuning, and cloud governance. Skill & Qualification: 5+ years of experience in Java development, with expertise in Spring Boot. Proven experience in AWS Lambda development with Spring Boot applications. Strong knowledge of AWS API Gateway/Manager for API development. Experience with Kafka for real-time data streaming and event-driven processing. Understanding of AWS asynchronous processing using SNS, SQS, EventBridge, and Kinesis. Familiarity with AWS DynamoDB is a plus. Exposure to Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Experience working in Agile development environments. Previous experience in Retail industry, particularly with POS or OMS integrations. Familiarity with CI/CD pipelines, Docker, and Kubernetes. Experience with AWS monitoring tools like X-Ray and CloudWatch.