Development of a Modular Microservices-Based Recruitment Platform for Enhancing Candidate Acquisition and Job Matching

The client faces difficulties in maintaining a complex, multi-technology recruitment platform that handles extensive job postings, candidate data, and integration with multiple job boards. The existing system suffers from technical debt, limited automation of routine tasks, and inefficient job matching processes, hindering scalability and user experience.

A rapidly growing HR technology company operating an online recruitment marketplace, aiming to optimize job posting and candidate matching processes.

• Create a flexible, microservices-driven architecture supporting scalable job posting and candidate matching functions.
• Reduce technical debt through automation and modernization of core microservices.
• Enhance communication channels with external job boards for real-time content updates.
• Implement advanced search and matching capabilities utilizing Elasticsearch to improve job seeker-job offer relevance.
• Develop tools and scripts to streamline routine system tasks in a containerized environment, improving developer productivity.
• Build a user-friendly interface for generating and managing job board content efficiently.

• Development of new microservices for job posting, candidate matching, and system support with the ability to extend functionalities.
• Automation scripts for routine system operations within containerized (Docker) environments.
• Integration of communication channels with multiple external job boards, including content generators and update mechanisms.
• Implementation of an enhanced search and filtering engine using Elasticsearch to match candidates with job offers more accurately.
• Creation of a web-based interface for automated content generation to facilitate uploading job offers to multiple platforms.

• External job boards for content posting and updates
• Content generation tools and APIs for automated job listings
• Databases for storing job, candidate, and system data

• System availability aimed at 24/7 operation with minimal downtime
• Fast response times, optimized for high concurrency, especially in search and content generation functions
• Secure data handling for sensitive candidate and job information
• Ability to scale horizontally to support a growing volume of job postings and candidates

This platform is expected to significantly improve the efficiency of candidate sourcing and job matching, reduce technical debt through automation, and streamline integration with external job boards. Anticipated outcomes include faster job posting processes, more relevant candidate matches, and improved developer productivity, ultimately supporting rapid growth and market competitiveness.