Scalable Job Engine & Daily Digest System

JobSearch.com.au needed a modern job aggregation platform and a scalable daily email system that could handle tens of thousands of subscribers — all while remaining fast, reliable, and cost-efficient.

Aggregating jobs from multiple data sources and delivering personalized daily digests based on user preferences required significant compute power during a tight daily window.

Managing 80,000+ subscribers at peak without slowing down — while minimizing costs compared to commercial email delivery systems — demanded a fundamentally different architectural approach.

Kipanga built the JobSearch.com.au website and back-end systems from the ground up, creating a platform that aggregates job listings from multiple sources and enables direct applications.

Every morning, the system compiles new and unseen job listings for each subscriber, then automatically sends them in a concise, personalized digest.

A container provisioning system scales compute power based on active subscribers, ensuring consistent speed regardless of growth.

A high-performance platform that aggregates job listings in real time and delivers personalized daily digests to 80,000+ subscribers within a 10–30 minute window.

The system was architected for horizontal scale with no upper limit on subscriber count. As the list grows, additional containers are provisioned in parallel — keeping total execution time consistent whether the system is processing 10,000 or 100,000+ subscribers.

The system follows a self-managed execution model: it wakes up, provisions the required compute resources, performs all operations, then shuts down — minimizing operational cost.

This approach outperforms commercial alternatives on both speed and cost while maintaining enterprise reliability.