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Automated Job Posting and Tracking System Integration
  1. case
  2. Automated Job Posting and Tracking System Integration

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Automated Job Posting and Tracking System Integration

n-ix.com
Information technology
Telecommunications
Automotive
Retail
Industrial manufacturing

Business Challenges in Recruitment Process

The client faced significant inefficiencies in their hiring process due to manual job posting and tracking across 400+ active vacancies. Disconnected systems (CATS, JIRA, Google services) required constant manual updates, monitoring, and prioritization, leading to communication overhead, human errors, and reduced hiring effectiveness.

About the Client

A fast-growing European tech company with 20+ years of market presence, 2,000+ tech experts, and partnerships with Fortune 500 companies across multiple industries.

Key Project Goals

  • Reduce manual work in job posting and tracking by 50%
  • Eliminate human errors in vacancy management
  • Integrate disparate systems (CATS, JIRA, Google services)
  • Improve cross-departmental communication
  • Enable automated prioritization of critical job postings

Core System Requirements

  • UiPath-powered RPA automation for job posting workflows
  • Bidirectional integration between CATS, JIRA, and external job platforms
  • Automated Google Meet link generation for interviews
  • Dynamic job posting prioritization engine
  • Centralized dashboard for vacancy monitoring and analytics

Technology Stack

UiPath
Google API
Custom RPA solutions

System Integrations

  • CATS Applicant Tracking System
  • JIRA
  • Google Workspace
  • External job portals

Non-Functional Requirements

  • Scalability to handle 400+ concurrent vacancies
  • 99.9% system uptime for critical job posting functions
  • Data security compliance with EU regulations
  • Real-time synchronization between integrated systems
  • Error-resistant automation with fallback mechanisms

Expected Business Impact

Implementation of the automated system is projected to enable 50% more job postings managed with minimal human intervention, reduce hiring cycle times by eliminating manual processes, improve candidate matching through better vacancy prioritization, and achieve cost savings through reduced administrative overhead in recruitment operations.

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