High-Traffic Enterprise Job Portal
Developed a scalable, high-performance job board platform featuring advanced search algorithms and real-time application tracking.
Problem
An expanding recruitment agency required a modernized platform capable of handling high concurrent traffic and complex, multi-faceted search queries. Their legacy system suffered from severe database locking issues and extremely slow search response times as their dataset grew.
My Role
Full Stack Architect.
Technical Challenges
- Search Optimization: Querying millions of job records based on geolocation, skill matching, and full-text search was crippling the primary SQL database.
- Concurrency: Handling traffic spikes during massive hiring events without degrading platform performance.
- Real-time Tracking: Implementing a seamless candidate tracking pipeline for employers to manage applications instantly.
Solution
I led the migration from a monolithic legacy system to a decoupled, API-first architecture.
- Advanced Searching: I integrated the Laravel backend with a dedicated search index (similar to Elasticsearch) and utilized Redis for heavily aggressive caching of frequent geographic queries.
- Frontend Performance: Rebuilt the frontend using Next.js with Server-Side Rendering (SSR) for the public job listings to guarantee perfect SEO, while keeping the employer dashboards purely client-side for maximum interactivity.
- Database Refactoring: Re-architected the MySQL database utilizing advanced normalization and read-replicas to dramatically reduce the load on the primary write database.
Tech Stack
- Frontend: Next.js, React, TypeScript
- Backend: Laravel, PHP, REST APIs
- Data Layer: MySQL (Read/Write Replicas), Redis, Full-Text Search Engines
Outcome
Reduced average search query times from over 4 seconds to under 150 milliseconds. The platform successfully scaled to support a 400% increase in daily active users with zero downtime, fundamentally transforming the client's business capabilities.