Java Full Stack Developer

Java Full Stack Developer

Job Location – Holmdel, NJ

Job Type Long Term Contract

Key Responsibilities

• Design, develop, test, and maintain scalable full-stack applications and APIs.

• Deliver high-quality software solutions using modern Java and JavaScript/TypeScript technologies.

• Participate in system architecture and design discussions, providing technical recommendations and best practices.

• Create and maintain reusable UI components and backend services.

• Develop and implement AI-driven workflow automations that improve software delivery, testing, documentation, and developer productivity.

• Support cloud-native applications deployed within AWS environments.

• Troubleshoot and resolve production incidents, perform root cause analysis, and implement preventative solutions.

• Collaborate with product owners and business stakeholders to translate requirements into technical solutions.

• Participate in Agile ceremonies including planning, estimation, retrospectives, and sprint reviews.

• Mentor junior developers and contribute to engineering standards, code reviews, and technical documentation.

• Drive continuous improvement initiatives related to application performance, security, reliability, and scalability.

Technical Skills

• 6+ years of professional software development experience.

• Strong experience with:

o Java

o Spring Boot

o React (Class-Based and Functional Components)

o Node.js

o Redux

o TypeScript

o Any AI/Automation tools

• Working knowledge of:

o Redux Saga

o Redux

o REST APIs

o Microservice architectures

o CI/CD pipelines

o Git-based source control workflows

o Next. jS

o API management platforms such as Apigee

• Experience designing and implementing cloud-native applications on AWS.

• Experience with system architecture and solution design, including scalability, resiliency, security, and performance considerations.

• Experience supporting and troubleshooting production applications.

• Experience using Splunk for application monitoring, log analysis, troubleshooting, and root cause analysis.

• Strong understanding of software engineering best practices, including testing, security, observability, and code quality.