Lead Java (Full Stack) with AI Experience

BURGEON IT SERVICES LLC
Plano, United States of America
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Plano, United States of America

Tech stack

Clean Code Principles
API
Artificial Intelligence
Data analysis
Application Performance Management
Unit Testing
Continuous Integration
Database Queries
Software Debugging
DevOps
Java Platform Enterprise Edition (J2EE)
Java Web Services
Machine Learning
Object-Oriented Software Development
Recommender Systems
Standard Sql
Secure Coding
React
Software Security
Vue.js
Angular
Integration Tests
REST
Docker
Jenkins
Microservices

Job description

  • Design, develop, test, and deploy Java-based applications and services
  • Write clean, efficient, and maintainable code following industry best practices
  • Participate in requirement analysis and technical design discussions
  • Develop and consume RESTful APIs and integrate with third-party services
  • Collaborate with cross-functional teams including UI, QA, and DevOps
  • Perform unit testing and support system/integration testing
  • Troubleshoot, debug, and resolve application issues
  • Optimize application performance, scalability, and reliability
  • Ensure adherence to secure coding standards and application security best practices
  • Contribute to AI-enabled features such as intelligent automation, data-driven insights, or ML integrations (preferred)

Requirements

  • Strong hands-on experience in Java / J2EE
  • Experience with UI technologies (Angular/React/Vue any)
  • Expertise in building RESTful Web Services
  • Solid understanding of object-oriented design principles
  • Experience with microservices architecture

Preferred / Nice-to-Have Skills

  • Strong SQL and database querying skills
  • Exposure to QA practices and automated testing frameworks
  • Familiarity with DevOps tools (CI/CD pipelines, Jenkins, Docker, etc.)
  • Experience integrating AI/ML models or APIs (e.g., OpenAI, NLP, recommendation systems)

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