micro1Posted 18 Apr 2026

Backend Java Developer

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Pay

$60–110/hr

Work

Remote · Contract

Eligibility

No stated location restriction

Field

Software engineering

Skills

JavaSpring BootMicroservices ArchitectureREST APIsBackend DevelopmentData StructuresDistributed SystemsHigh-Availability SystemsAWSMicrosoft AzureGoogle Cloud PlatformPerformance OptimizationDebuggingCode Review

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About this role

Job Title: Backend Java Developer

Job Type: Contractor

Location: Remote

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

  1. Design, develop, and maintain scalable backend systems using Java and Spring Boot.
  2. Architect robust microservices solutions to support complex application requirements.
  3. Collaborate with the customer's team to review technical specifications and deliver high-quality code.
  4. Contribute expert insights to improve application performance, reliability, and security.
  5. Participate in code reviews and provide constructive feedback to peers.
  6. Document technical processes and solutions with clear, concise written communication.
  7. Troubleshoot, debug, and optimize backend systems as needed.

Required Skills and Qualifications

  1. Expert proficiency in Java programming language.
  2. Hands-on experience with Spring Boot framework for backend development.
  3. Strong knowledge of microservices architecture and design principles.
  4. Demonstrated ability to write clean, maintainable, and efficient code.
  5. Exceptional written and verbal communication skills, with a keen attention to detail.
  6. Experience collaborating with remote teams in a fast-paced environment.
  7. Solid understanding of REST APIs, data structures, and backend best practices.

Preferred Qualifications

  1. Exposure to cloud platforms such as AWS, Azure, or Google Cloud.
  2. Prior experience working on AI-driven or data-intensive projects.
  3. Background in high-availability or distributed systems.

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