JobSeeker: A Scalable and Intelligent Recruitment Platform

JobSeeker is a full-stack, modular recruitment management system designed to optimize end-to-end hiring workflows through modern web technologies, scalable architecture, and intelligent job-matching algorithms.

🔧 System Architecture & Tech Stack

• Frontend: Built with Vue and Tailwind CSS for a responsive and intuitive UI
• Backend: Spring Boot framework supporting RESTful APIs
• Database: PostgreSQL for flexible and relational data management
• Authentication: JWT-based secure login system, with optional OAuth (WeChat, Google, LinkedIn) integration
• Cloud Infrastructure: Deployed on GCP with Dockerized microservices and CI/CD pipelines
• AI Matching Engine: NLP-enhanced resume parsing and job recommendation using TensorFlow

🧠 Key Functional Modules

• Job Matching Engine (自动分类分级byTags): Uses skill extraction, experience-weighted scoring, and semantic similarity to rank job listings per candidate
• Resume Parser & Builder: Structured CV parsing into JSON objects, with customizable template rendering
• Employer Dashboard: Advanced candidate filtering, pipeline tracking, and status automation
• Multilingual Interface: Supports Chinese/English toggling for international hiring scenarios
• Notification System: Real-time updates via WebSocket and email/SMS triggers

🔒 Security & Compliance

• End-to-end encryption for sensitive data
• GDPR-compliant data retention and deletion policy
• Role-based access control (RBAC) and audit logs

📈 Scalability & Extensibility

• Microservice-ready backend
• Modular design for easy plugin/feature extensions (e.g., AI interview, background check API)
• Load-balanced and horizontally scalable infrastructure

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This system is designed not just as a recruitment board, but as a technically extensible hiring ecosystem capable of integrating with external HRIS systems, ATS platforms, and third-party APIs.