TAF-Engineer Software Engineering(Global)-XA

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.