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Xperteez Technology

🌎 Backend Java Developer - Remote, Contract

Posted a month ago
$60 - $110 per hour
5-10 years experience
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AI Summary

Design, develop, and maintain scalable backend systems using Java and Spring Boot while architecting robust microservices. Collaborate with the team to review technical specifications, optimize system performance, and document technical solutions.

Job Title: Backend Java Developer

Job Type: Contract

Location: Remote

Required Skills

  • JAVA

  • Spring Boot

  • Microservices

As a Backend Java Developer, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities

  • Design, develop, and maintain scalable backend systems using Java and Spring Boot.

  • Architect robust microservices solutions to support complex application requirements.

  • Collaborate with the customer's team to review technical specifications and deliver high-quality code.

  • Contribute expert insights to improve application performance, reliability, and security.

  • Participate in code reviews and provide constructive feedback to peers.

  • Document technical processes and solutions with clear, concise written communication.

  • Troubleshoot, debug, and optimize backend systems as needed.

Required Skills and Qualifications

  • Expert proficiency in Java programming language.

  • Hands-on experience with Spring Boot framework for backend development.

  • Strong knowledge of microservices architecture and design principles.

  • Demonstrated ability to write clean, maintainable, and efficient code.

  • Exceptional written and verbal communication skills, with a keen attention to detail.

  • Experience collaborating with remote teams in a fast-paced environment.

  • Solid understanding of REST APIs, data structures, and backend best practices.

Preferred Qualifications

  • Exposure to cloud platforms such as AWS, Azure, or Google Cloud.

  • Prior experience working on AI-driven or data-intensive projects.

  • Background in high-availability or distributed systems.

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