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Select Minds LLC

Phoenix / Global

Java Full Stack Developer

  • $120.000 - $150.000

Job Summary

Salary Range:
$120.000 - $150.000
Apply Now

Job Description

Benefits: ONSITE

Competitive salary

Opportunity for advancement

Java Full Stack Developer – Java + React

Location: Phoenix, AZ Work Arrangement: Day 1 Onsite – All 5 Days in Office Experience: 8+ Years

Important This is a Day 1 Onsite position in Phoenix, AZ.

Candidates must be available to work onsite all 5 days per week.

Remote work is not available.

Mandatory Requirement Candidates must have prior experience with at least one relevant enterprise application framework.

Please do not submit profiles without relevant framework experience.

Required Skills Strong Core Java, J2EE, Spring, and Spring Boot experience.

Microservices architecture and RESTful API development.

React.js for modern and responsive UI development.

Strong knowledge of OOP and Design Patterns.

Experience with Vert.x and Reactive Programming.

Experience with Oracle, MySQL, and/or Cassandra.

Exposure to Cloud and cloud-native application development.

Experience with SCM, CI/CD, build, and deployment tools.

Experience with unit testing, automation, security scanning, and code quality practices.

Strong understanding of TDD, BDD, SDLC, code reviews, refactoring, and performance optimization.

Ability to develop clean, maintainable, and reusable code.

Preferred Experience Experience working on large-scale enterprise projects.

Hands-on experience with enterprise application frameworks such as One App or One Data.

Familiarity with enterprise development standards and practices.

Core Technology Stack Backend: Core Java, J2EE, Spring, Spring Boot

Frontend: React.js

Architecture: Microservices, REST APIs, Reactive Programming

Frameworks: Vert.x, Enterprise Application Frameworks

Databases: Oracle, MySQL, Cassandra

Cloud: Cloud & Cloud-Native Technologies

DevOps: SCM, CI/CD, Build & Deployment Tools

Testing & Quality: Unit Testing, Automation, TDD, BDD, Security Scanning, Code Quality

Engineering Practices: OOP, Design Patterns, Code Reviews, Refactoring, Performance Optimization

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