Case Study : Enterprise Recruitment SaaS
Xeurix
Optimizing candidate search queries across high-volume applicant records.
1. Challenge & Constraints
Performance degradation and CPU bottlenecks when running semantic search queries over 100k+ candidate records in the PostgreSQL database.
2. Architectural Solution
To solve these bottlenecks, the system was built using the following core patterns:
- Led the frontend engineering team to build modular, component-driven layouts utilizing React.js and TypeScript.
- Reduced DOM weight and render latency by implementing windowed lists for candidate search results.
- Optimized PostgreSQL database query indexes to speed up candidate match scans.
3. Measured Outcomes
- Reduced search query latency by 70% for large applicant databases.
- Established engineering code review standards and Git branch protection rules across team divisions.
- Scaled applicant outreach campaigns to handle high weekly volume with stable performance.