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Java Backend Engineer (GenAI-Enabled Development)

Contract 60 USD
Senior Java Backend Engineer (GenAI-Enabled Development)

Locations:

  • Mountain View, CA (5 Openings)
  • New York City, NY (1 Opening)

Employment Type: Contract

Position Overview

We are seeking highly skilled Java Backend Engineers to join our engineering team building scalable, cloud-native enterprise applications. The ideal candidate will have strong expertise in Java, Spring Boot, Microservices, and distributed systems, along with hands-on experience using AI-assisted development tools such as Windsurf, Cursor, GitHub Copilot, Claude Code, Amazon Q, or similar GenAI IDEs to improve developer productivity.

Candidates with educational backgrounds from top-tier Chinese universities are highly preferred.

Key Responsibilities
  • Design, develop, and maintain high-performance backend applications using Java and Spring Boot.
  • Build scalable microservices and RESTful APIs.
  • Develop cloud-native applications following modern software engineering best practices.
  • Utilize AI-powered IDEs (Windsurf, Cursor, GitHub Copilot, Claude Code, etc.) for accelerated software development.
  • Participate in architecture discussions, code reviews, and technical design sessions.
  • Collaborate with Product Managers, Architects, QA, and DevOps teams.
  • Write clean, maintainable, and testable code.
  • Troubleshoot production issues and optimize application performance.
  • Contribute to CI/CD automation and engineering best practices.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
  • Strong Java programming experience.
  • Spring Boot.
  • Microservices architecture.
  • REST APIs.
  • Distributed systems.
  • SQL and NoSQL databases.
  • Git.
  • CI/CD.
  • Experience using AI-assisted coding tools such as:
    • Windsurf
    • Cursor
    • GitHub Copilot
    • Claude Code
    • Amazon Q
    • Codeium
    • JetBrains AI Assistant
    • Tabnine
  • Excellent software engineering fundamentals.
  • Strong communication and problem-solving skills.
Preferred Qualifications
  • Kubernetes
  • Docker
  • Kafka
  • Redis
  • AWS / Azure / GCP
  • GenAI application experience
  • LLM integration
  • High-scale backend systems
Top 3 Must-Have Skills
  1. Java + Spring Boot
  2. Microservices & REST APIs
  3. AI-assisted Development (Windsurf / Cursor / GitHub Copilot / Claude Code or equivalent)

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