AWS Full Stack Developer

We have an opening for AWS Full Stack Developer at Boston, MA/ Edison, NJ. Kindly apply with your updated resume if you are interested. Please find the job details below:

Position: AWS Full Stack Developer

Location: Boston, MA/ Edison, NJ

Duration: 12 Months Contract position

Requirements:

Job Summary

We are seeking a highly skilled AWS Full Stack Developer to design, develop, and implement modern cloud-native applications on AWS. The ideal candidate will have strong experience in frontend and backend development, microservices architecture, cloud-native solutions, database development, and DevOps practices. This role will be responsible for modernizing enterprise applications, developing scalable APIs and services, implementing efficient data processing solutions using Amazon Aurora, and supporting CI/CD-driven delivery pipelines.

Key Responsibilities

Cloud & Application Development

• Design, build, and deploy scalable cloud-native applications using AWS services.
• Develop secure, high-performing, and resilient solutions following AWS best practices.
• Participate in application modernization initiatives and cloud transformation programs.
• Collaborate with architects and business stakeholders to deliver enterprise-grade solutions.

Frontend Development

• Develop responsive and user-friendly web applications using React.js.
• Create reusable UI components and integrate frontend applications with backend APIs.
• Optimize applications for performance, scalability, and user experience.

Backend Development

• Design and develop RESTful APIs and backend services using Java and Spring Boot.
• Implement and maintain microservices-based architecture.
• Develop backend solutions and automation utilities using Python.
• Ensure high availability, security, and performance of services.

Database & Data Processing

• Design, develop, and optimize solutions using Amazon Aurora (Postgres SQL)
• Develop, maintain, and optimize Amazon Aurora database objects, including stored procedures, functions, triggers, views, indexes and scheduled jobs to support business logic.
• Support modernization of existing ETL processes by leveraging Aurora-based data processing capabilities.
• Develop new ETL framework based on reference with the existing ETL process.
• Optimize database performance, query execution, and data integrity.