Website modernization for employment agencies: Updating functionality for convenient search of vacancies and resumes

Recruitment agencies, like any other business, need to constantly adapt their platforms to meet the demands of the times. In a world with an increasingly competitive labour market, it is important that recruitment agency websites meet the needs of both employers and candidates. Old systems are often unable to efficiently maintain large amounts of data and provide convenient and fast access to vacancies and CVs.

Website modernisation is a necessity to improve the efficiency of job and CV searches, optimise user interaction with the platform, and improve the overall visitor experience. In this article, we'll look at the technical aspects of upgrading website functionality for easy job and resume searching, and highlight the importance of the right technology infrastructure.

Analysing the existing website infrastructure (Reverse Engineering)

Audit of the main components of the site

The first step in upgrading a website is a comprehensive analysis of the existing infrastructure. This allows you to identify weaknesses and understand how you can improve the efficiency of functionality.

Database management systems (DBMS)

At most employment agencies, job vacancy and CV data is stored in large databases. It is important to determine whether the existing database supports the required volumes of information and whether there is the ability to scale as traffic grows. One important aspect is the choice between relational (e.g. MySQL, PostgreSQL) and non-relational (MongoDB, Elasticsearch) databases.

API integration

Modern recruiting platforms often use third-party services to exchange data - for example, integrating with CRM systems or payroll systems to calculate salaries. Updating APIs is critical to ensure smooth operation and fast data exchange between different components.

Frameworks and platforms

The technologies that underpin the site (frameworks and platforms) are essential to maintaining high speed performance. For example, modern JavaScript-based frameworks (React, Vue.js) allow you to create dynamic and intuitive interfaces for job searches and CVs.

Collect user data

To make modernisation as effective as possible, you need to understand how users interact with the site. Implementing analytics tools, such as Google Analytics or Hotjar, will help gather data on which parts of the site are most used and which are ignored. This will allow you to optimise the most popular features and improve the user experience.

Identify key requirements for functionality upgrade

The main goal of the upgrade is to improve the user experience when searching for jobs and resumes. Here are the key requirements to be fulfilled when upgrading the functionality:

Easy search for job openings by job postings

The site's search engines should be fast and accurate. For this purpose, it is worth implementing:

• Filters to refine searches : the ability to filter job vacancies by various parameters such as job type, salary, city, experience.
• Keyword search : users should be able to search for jobs using simple or compound queries.
• Recommendation system : based on previous search queries, users can be suggested the most suitable jobs for them.

CV uploading and processing

The upgrade also includes improvements to the process of uploading and analysing CVs:

• Support for different file formats : it should be possible to upload CVs in popular formats (PDF, DOCX, TXT).
• OCR and automatic analysis : Optical Character Recognition (OCR) systems and the use of artificial intelligence technologies to analyse and evaluate resumes can be implemented to simplify the resume processing process.

Mobile version of the website

Given the trend of increasing mobile traffic, it is important to create an adaptive version of the website that will allow candidates and employers to effectively use the website functions from mobile devices.

New functionality development and technology selection

Technologies for search engines

To ensure fast and accurate job search on the site, it is best to use specialised search engines such as Elasticsearch or Solr . These technologies provide scalability and high speed in processing queries.

Systems for uploading and processing CVs

NLP (Natural Language Processing) and machine learning (ML) can be used to automatically process resumes . Technologies based on Spacy or Google Cloud AI can automatically assess candidates' key skills and match them to job openings.

Frontend frameworks for interactive elements

You can use React or Vue.js to create a user-friendly UI . These frameworks provide high performance as well as ease in creating interactive elements on job and resume pages.

Testing and Optimisation

A/B testing

One of the best ways to optimise your interface is to conduct A/B testing . Running two versions of a page allows you to compare the effectiveness of changes and choose the best option.

Testing on different devices

To ensure your site is compatible with all modern devices, it's worth testing on different browsers and mobile devices . Tools such as BrowserStack can help ensure your site runs smoothly on different platforms.

Performance Optimisation

Special attention should be paid to optimising database queries and caching the most used data to ensure high site speed.

Preparing for deployment of updates to the production environment

After developing and testing the updated functionality, it is necessary to prepare a plan for deployment to the production environment. It is important to implement changes in phases to avoid site continuity issues.

SEO strategies for search engines

One of the key parts of the upgrade is optimising the site for search engines (SEO). Recommended:

• Use structured data (Schema.org) for job postings and resumes.
• Optimise the site for mobile SEO and page load speed .
• Provide SEO for Google Jobs , so that agency vacancies appear in specialised search engines.

Table 1: Comparison of major search engine technologies