Case Study: Joblift achieves scalable, cost-efficient big data processing with Google Cloud and Looker

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

Joblift, a job-search platform operating in five countries, needed to scale its services internationally while keeping costs under control and supporting a more personal experience for job seekers and recruiters. Using Looker for data analytics alongside its cloud-based infrastructure, Joblift aimed to better match candidates with the right jobs and respond quickly to changing demand, especially during the COVID-19 crisis.

Looker helped Joblift turn data into actionable insights to improve candidate matching and platform performance. The result was more efficient scaling and stronger cost control, including a 20% to 30% savings from advanced auto-scaling, plus the ability to rapidly reduce infrastructure when demand fell. Joblift also used its analytics-driven approach to support critical healthcare hiring, helping fill essential roles faster.

Joblift

Denis Bauer

CTO