Engineer Software Engineering - Global

Key Responsibilities

• Core Development: Design, code, test, and deploy clean, maintainable frontend applications and reusable component libraries using modern JavaScript/TypeScript and frameworks.
• Data Visualization & Real-Time Monitoring: Develop high-performance dashboards, real-time monitoring panels, and interactive network/hardware topology maps to present data center metrics clearly and intuitively.
• System Optimization & Performance Tuning: Optimize web application performance, rendering efficiency, memory usage, and initial load speeds for handling high-frequency real-time data streams and complex visual rendering components.
• Team Collaboration: Partner closely with Product Managers, Backend Engineers (Java), and QA teams to align on requirements, define RESTful/WebSocket API contracts, and deliver high-quality features within agile sprints.
• Code Quality: Actively participate in code reviews to maintain high coding standards, component reusability, and engineering best practices.
• AI Tool Integration: Actively leverage modern AI-assisted developer tools (e.g., GitHub Copilot, Cursor) into daily workflows to optimize code generation, refactoring, and delivery efficiency.

Required Technical Skills & Qualifications

• Experience: Minimum of 3 years of professional web frontend development experience.
• Education: Bachelor’s degree or above in Computer Science, Software Engineering, or a related field.
• Frontend Core: Deep understanding of HTML5, CSS3 (Sass/Less/Tailwind CSS), and modern JavaScript (ES6+), with strong proficiency and practical experience in TypeScript.
• Framework Ecosystem: In-depth mastery of at least one modern frontend framework ecosystem (e.g., Vue, React, or Angular) and familiarity with mainstream UI component libraries (e.g., Element Plus, Ant Design).
• Data Visualization & Real-Time Communication: Solid experience with visualization libraries (e.g., ECharts, Chart.js, or D3.js) and proficiency in integrating and handling real-time data communication protocols such as WebSocket and SSE.
• Tooling & Engineering: Proficiency with modern build tools (Vite, Webpack), version control (Git), RESTful API integration, and browser debugging tools.
• Preferred Qualifications:
  • Prior experience in developing Data Center Infrastructure Management (DCIM) systems, IoT/infrastructure monitoring dashboards, or enterprise-level network management platforms.
  • Proven capability in effectively leveraging AI developer tools (e.g., Claude, Cursor) to improve code quality and execution speed.
  • Excellent English proficiency with the ability to use English fluently as a working language.