Xperteez Technology

🌎 Backend Java Developer - Remote, Contract

Worldwide · Remote · REMOTE · FREELANCE
Publiée le 6 octobre 2026 · Candidature traitée sur le site de l’entreprise
DeveloperBackend-EngineerJava-DeveloperSoftware-DeveloperBackend-Java-DeveloperJava-Backend-DeveloperJava-Backend-EngineerSenior-Java-Backend-DeveloperRemote-Java-DeveloperSenior-Java-Backend-EngineerRemote-Senior-Java-DeveloperSenior-Backend-Engineer-(Java-Kotlin)

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. Originally posted on Himalayas