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# Java Backend engineer

- **Company:** Nityo Infotech Corporation
- **Location:** Mountain View, CA, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Unit Testing, Static Program Analysis, Software Quality, Continuous Integration, Data Structures, Database Theory, Java Platform Enterprise Edition (J2EE), Spring Framework, OAuth, Service-Oriented Architecture, Simple Object Access Protocol (SOAP), Web Applications, Web Services, Test-Driven Development (TDD), ReactJS, Spring-boot, Backend, Git, Kubernetes, Information Technology, Front End Software Development, Restful APIs, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/c552fe91-56ff-44be-90d2-f711cf8537f4

## About the Role

* Bachelor?s or Master?s degree in Computer Science, Engineering, or a related field.
 * Minimum of 8 years of experience in Java/J2EE development; strong expertise in Spring and Spring Boot 2.
 * Working knowledge of React JS and frontend development best practices.
 * Proficient in AWS; experience with Kubernets is highly preferred.
 * Solid understanding of Service-Oriented Architecture (SOA), RESTful API, and Micro Services.
 * Experience with Git, CI CD Pipeline, and Static Code Analysis.
 * Strong analytical and problem solving skills.
 * Excellent communication skills and a passion for innovation and continuous learning.

## Description

* Design, develop, and maintain robust Java/J2EE applications with a focus on RESTful web services.
 * Build scalable backend systems using Spring, Spring Boot, and microservices architecture.
 * Contribute to frontend development using React.js, ensuring seamless integration with backend services.
 * Work within AWS cloud environments and utilize Kubernetes for container orchestration and deployment.
 * Develop and maintain SOA architectures and understand web service paradigms such as REST and SOAP.
 * Participate in Test-Driven Development (TDD) and contribute to unit testing and code quality initiatives.
 * Collaborate on large-scale, consumer-facing web applications to enhance performance and integration.
 * Integrate AI technologies into existing systems under the guidance of AI experts.
 * Implement secure solutions using OAuth 2.0 and other security protocols.
 * Stay hands-on with code and maintain a strong understanding of algorithms, data structures, and database concepts.