Scalable Job Matching Platform for Flexible Work Arrangements

The client faces difficulties in scaling their platform efficiently to accommodate a rapidly growing user base, including over 210,000 users, due to infrastructure limitations, slow response times, and challenges in maintaining matchmaking accuracy and platform stability. They also require an optimized search capability for employers to identify suitable candidates from a large, diverse database, while ensuring platform security and performance.

A mid-sized online employment platform dedicated to connecting job seekers seeking flexible work options with employers prioritizing work-life balance while enhancing system capacity to support rapid user growth.

• Increase platform capacity to handle over 210,000 active users and hundreds of thousands of candidates efficiently.
• Implement a scalable, resilient infrastructure migration to cloud services (e.g., AWS) to reduce downtime and infrastructure costs.
• Develop a robust search and matching algorithm leveraging machine learning to improve relevance and accuracy for both job seekers and employers.
• Enhance mobile and desktop user interfaces for optimal responsiveness and usability across devices.
• Integrate external APIs and data sources to enrich candidate profiles and employer listings.
• Maintain ongoing platform modernization, database performance optimization, and security improvements.

• Advanced matching algorithm that filters and delivers relevant job recommendations based on user experience, location, education, and flexibility preferences.
• Candidate and employer dashboards with profile management, job posting, and application functionalities.
• A large, searchable database with optimized indexing for quick retrieval of millions of CVs and job listings.
• Integration of external APIs for validation, enrichment, and job market data.
• Mobile-responsive UI with extensive UX/UI design focusing on usability and accessibility.
• Notification system for job alerts, application updates, and platform communications.
• Administrative interfaces for platform management, data maintenance, and user support.

• External job market APIs for real-time job listing updates and candidate verification.
• Third-party services for data validation and enrichment of candidate profiles.
• Communication APIs for notifications (e.g., email, SMS).

• Platform must support over 210,000 active users with minimal latency (response times under 2 seconds for search queries).
• High availability architecture ensuring 99.9% uptime.
• Secure data encryption both at rest and in transit.
• Infrastructure capable of rapid scaling in response to user growth and peak loads.
• Extensive testing, including load testing and security audits, throughout development.

The platform will support significant user growth, achieving over 210,000 active candidates and maintaining high responsiveness and stability. Improved matching algorithms will increase relevance and user satisfaction, leading to higher engagement rates and successful placements. Operational costs will decrease through scalable cloud migration, while platform reliability will ensure continuous availability for users across multiple regions.