Java Backend Developer

Vrddhi Solutions LLC

Phoenix, AZ, United States

16 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

5 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Software Quality Code Review Continuous Integration Database Queries Software Debugging

+27 more

DevOps Programming Tools Distributed Systems Hibernate (Java) IntelliJ IDEA Java Development Kit Java Persistence API Junit Productivity Software Mockito Google Cloud Cloud Platform System Spring Cloud GitHub Copilot Large Language Models Prompt Engineering Spring-boot Backend Git Event Driven Architecture Integration Tests Kubernetes Front End Software Development Virtual Agents Restful APIs Docker Microservices

Job description

We are looking for an innovative Java Backend Developer who builds high-performance microservices and uses GitHub Copilot to accelerate development velocity and code quality. In this role, you will design robust server-side logic, optimize distributed systems, and integrate AI-powered developer tools into your daily coding, testing, and debugging lifecycle., * Design & Develop: Build scalable, secure, and resilient Java Spring Boot microservices and RESTful APIs.

Leverage AI Productivity Tools: Use GitHub Copilot (Chat, Inline, and Agent modes) to generate boilerplate code, draft database queries, and refactor legacy code safely.
Prompt Engineering & Context Management: Provide precise file context and meaningful comments to guide GitHub Copilot for accurate, idiomatic Java code generation.
Prompt Engineering & Context Management: Provide precise file context and meaningful comments to guide GitHub Copilot for accurate, idiomatic Java code generation.
Automated Testing: Rapidly write and expand unit and integration tests using JUnit and Mockito with AI assistance.
Code Review & Quality Control: Critically review, secure, and optimize AI-generated code to prevent security vulnerabilities (e.g., injection flaws) and performance bottlenecks.
Collaborate: Work within Agile teams alongside frontend engineers, DevOps, and product managers to deliver robust end-to-end features.

Requirements

Core Java & Frameworks: 5+ years of professional backend experience with Java (JDK 17/21), Spring Boot, Spring Cloud, and Hibernate/JPA.
AI Tool Proficiency: Hands-on daily experience with GitHub Copilot or similar LLM-based IDE assistants (IntelliJ IDEA or VS Code integration).
Architecture & APIs: Strong knowledge of microservices architecture, event-driven systems, and secure RESTful web services.
DevOps & CI/CD: Familiarity with Docker, Kubernetes, Git version control, and cloud environments (AWS, Azure, or Google Cloud Platform).
Critical Thinking: Ability to distinguish between correct AI suggestions and flawed logic, maintaining high code integrity