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Development of a Scalable SaaS Platform for Employee Referral Management
  1. case
  2. Development of a Scalable SaaS Platform for Employee Referral Management

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Development of a Scalable SaaS Platform for Employee Referral Management

ironin.it
Human Resources
Information technology

Challenges in Recruitment Process Management

Existing HR processes lacked efficiency in managing employee referrals, requiring seamless integration with third-party recruitment software, scalable architecture for evolving technologies, and simultaneous handling of multiple integrations without compromising performance.

About the Client

Global leader in recruitment and trusted online referral platform with nearly one million users

Key Project Goals

  • Develop a scalable SaaS platform to handle multiple third-party integrations
  • Optimize synchronization of requests to improve performance
  • Create a maintainable architecture for rapid implementation of new features
  • Enhance platform competitiveness through continuous improvement

Core System Functionalities

  • Referral tracking and management system
  • Integration with popular recruitment software (e.g., ATS platforms)
  • User management for HR teams and employees
  • Analytics dashboard for referral success metrics
  • Scalable core platform architecture

Technology Stack Requirements

Ruby on Rails
React
MySQL
Redis
AWS
Docker
Sidekiq
SOLR
Elastic Search

External System Integrations

  • Applicant Tracking Systems (ATS)
  • HRIS platforms
  • Candidate relationship management tools
  • Third-party authentication services

Non-Functional Requirements

  • High scalability for global user base
  • Real-time synchronization performance
  • Robust security for sensitive HR data
  • Modular architecture for easy maintenance
  • Comprehensive test coverage (RSpec, Capybara)

Expected Business Impact

Platform will enable 600k+ successful job placements annually, reduce integration deployment time by 50%, and maintain 99.9% system uptime through optimized architecture and automated QA processes.

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