Designed and engineered a robust digital jobs board engine and applicant management system. Optimized high-concurrency database queries for rapid candidate screening.
The client needed a custom job board application capable of hosting millions of monthly job listings. Existing off-the-shelf software struggled with slow query responses when searching complex job categories.
Optimizing database index layouts and query execution plans in PostgreSQL to prevent server lockups during high-concurrency search spikes.
We engineered a clean full-stack application using React, Express, and PostgreSQL. We implemented full-text search index grids, material views, and query caching via Redis, keeping response times under 100ms even under heavy loads.
React single-page application handles interactive layouts.
Express REST API handles authentication and query routing.
PostgreSQL acts as the primary data store with full-text search indexes.
Redis manages cache invalidation structures for common search queries.
Third-party job boards synchronized nightly via automated cron scripts.
Database Schema Design: Normalized tables and defined index boundaries.
API Construction: Programmed clean REST routing with query parameters validation.
Search Tuning: Configured PostgreSQL full-text search lexers and rank multipliers.
Cache Configuration: Established Redis cache keys for trending job categories.
Frontend Build: Built a responsive, clean candidate layout dashboard.
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