Case Study: Joblift achieves scalable, cost-efficient job matching with Google Cloud Platform

Joblift Shifting from job search platform to digital career advisor with powerful data and AI

Joblift, a job search platform expanding across five countries, needed a scalable way to process big data and match candidates with the right roles while keeping costs under control. Using Google Cloud Platform services such as Compute Engine, GKE, and Google Workspace, Joblift was able to support international growth and remote collaboration while improving the job seeker experience.

Google Cloud Platform helped Joblift implement advanced auto-scaling, cutting infrastructure costs by 20% to 30% and reducing some services from 50 instances to just a handful during the COVID-19 downturn. Joblift also used Google Cloud Platform to offer healthcare job postings free of charge during the crisis, and it plans to expand further with Dataproc, Istio, and AI tools like AutoML to handle larger data volumes and build smarter matching models.

Joblift

Denis Bauer

CTO