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In 2015, Joblift started as a meta search engine for jobs ingesting millions of job items per day. The requirements were plain and simple: On one side, provide a good experience to the user, i.e., no duplicate jobs, no stale job offers, and a smooth user experience. On the other hand, it had to offer a maximum of openings on one single website.
Joblift opted for a modern microservice architecture, deployed to the Google Cloud Platform. It allows easy and automatic horizontal scaling and a good way for separating the various business functionality. Now in 2021, Joblift has evolved from a simple meta search engine to a highly complex recruitment intelligence platform. We are coping with massive data loads, have an intelligent candidate matching engine using machine learning models and run around 150 microservices on our platform.
In this talk, we give an insight into our cloud based microservice architecture operated on Google Cloud Platform and orchestrated by Kubernetes and how we solve the daily challenges of continuous integration and deployment using a GitOps approach.