Job Foundry Hub — case study by Jomiez Innovation
Web Development

Job Foundry Hub

A high-performance career blog and job platform built with Django and PostgreSQL, featuring an automated SEO auditing system and secure content lifecycle management.
Date:
2026
Project:
Web Development
Customer:
Dozzy

Job Foundry Hub

Project Overview

Job Foundry Hub is a comprehensive career advice and job discovery platform designed for recent graduates. The primary objective was to build a site that not only provides high-value content but is also technically optimized for rapid Google indexing and AdSense monetization.

The Challenge

Most career blogs suffer from poor SEO structures and lack the "technical weight" needed for fast AdSense approval. We needed to build a custom content management workflow that enforces strict SEO rules (character counts, meta descriptions, focus keywords) while ensuring the site remained fast and secure under high traffic.

Technical Implementation

I developed several custom backend features to stabilize the platform's production environment:

  • Automated SEO Auditing: A custom Django admin integration that provides real-time "SEO Health" scores (1/5 to 5/5) based on meta-tag precision and keyword density.
  • Content Lifecycle (Trash System): Implemented a secure "Soft-Delete" system with proxy models, allowing posts to be trashed and automatically purged after 30 days without affecting public visibility.
  • Persistent Infrastructure: Migrated the platform to a persistent Neon PostgreSQL database and integrated Cloudinary for secure, high-speed media storage.
  • AdSense Optimization: Built automated read-time calculations and word count tracking to ensure all content meets professional publishing standards.

The Result

The platform currently hosts a growing library of SEO-optimized career guides, achieving a "Perfect" SEO health score on major posts. The architecture is fully prepared for scale, with automated sitemaps and schema markup driving organic search visibility.

Technical Stack

Built with Django, Python, and PostgreSQL. Styled with vanilla CSS for maximum performance. Integrated with Cloudinary for media and Render for automated CI/CD deployment.