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Development of a Scalable Digital Talent Matching Platform for Youth Recruitment
  1. case
  2. Development of a Scalable Digital Talent Matching Platform for Youth Recruitment

Development of a Scalable Digital Talent Matching Platform for Youth Recruitment

fulcrum.rocks
Education
Human Resources
Business services

Addressing Recruitment Challenges for Young Professionals and Employers

The client aims to transform the recruitment process by creating a fast, scalable, and user-friendly digital platform that simplifies candidate search, enhances direct communication between talents and companies, and provides personalized content and matchmaking functionalities to effectively connect young professionals with potential employers in a competitive talent market.

About the Client

A startup focused on connecting students and recent graduates with employment opportunities and internships through a modern web and mobile platform.

Goals for Developing a Next-Generation Talent Matchmaking Platform

  • Build a responsive web and mobile platform that offers a seamless user experience for students, graduates, and employers.
  • Implement a smart matchmaking algorithm considering educational background, skills, language proficiency, and preferences to facilitate optimal job and internship placements.
  • Enable candidates and employers to create detailed profiles, showcase achievements, and manage job postings and candidate applications.
  • Incorporate real-time in-platform messaging, notifications, and referral functionalities to enhance engagement and communication.
  • Ensure platform scalability and reliability through a microservices architecture deployed on Kubernetes with CI/CD pipelines for continuous integration and deployment.
  • Support personalized content feeds based on user preferences for increased relevance and engagement.

Core Functional Requirements for a Modern Talent Connection Platform

  • User registration and profile creation for candidates and employers, including showcasing skills and company info.
  • Management of job listings, internships, and events by employers, with capability to update and publish opportunities.
  • Personalized content feed tailored to user preferences, utilizing a smart matchmaking algorithm that factors education, skills, language proficiency, and interests.
  • Real-time messaging system for direct communication between candidates and employers, including interview invitations.
  • Referral code inclusion and editing within user profiles to facilitate referral-based recruitment.
  • Push notifications for new company sign-ups, job postings, events, and platform updates.
  • Analytics and tracking dashboard for users to monitor applications, message exchanges, and recruitment outcomes.

Preferred Technologies and Architectural Approaches

Node.js for backend development
React for web frontend
React Native and TypeScript for mobile app development
Redis for caching and real-time data handling
Kubernetes for microservices deployment
CI/CD pipelines via Github or equivalent for automated testing and deployment

External Systems and Data Integrations Needed

  • Content delivery and notification services for push notifications
  • Authentication and identity management systems
  • Possible integration with external job boards or university databases for wider talent sourcing

Non-Functional Requirements for Performance, Security, and Scalability

  • Platform must support scalable deployment on Kubernetes with the ability to add or remove services without downtime
  • Messaging and matchmaking algorithms should operate efficiently to preserve user experience, maintaining fast response times
  • Data security measures to protect user profiles, messages, and personal information
  • Application availability targeted at 99.9% uptime
  • Real-time updates and notifications should operate with minimal latency

Projected Business Outcomes and Platform Benefits

The platform is expected to connect active young talent with leading employers efficiently, increasing successful placements and engagement. Targeted at the Belgian market initially, the system aims to facilitate high-quality matches, deliver personalized user experiences, and support rapid scalability, ultimately enhancing recruitment efficacy and platform adoption.

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