Hello ?
Would you love to improve the way companies take care of their people, their most valuable asset?

We are looking for a
Staff Software Engineer
to join our
DX and Performance team
at Factorial, with a strong focus on
performance, reliability, observability, load testing, and AI-assisted engineering workflows
.

DX and Performance Team ?️
The team’s primary goal is to increase Factorial’s quality, performance, and scalability by continuously improving the way we build our product. We focus on strengthening our tools, maintaining foundational elements, and promoting best practices in close collaboration with the rest of the engineering organization.

Our mission is to equip product builders with robust, AI-enabled tools and practices to deliver with quality, confidence, and efficiency. We work across teams to improve software patterns, remove obstacles, complete unfinished migrations, reduce tech debt, and raise the overall engineering bar across the company.

Within this context, performance and reliability are an increasingly important area of focus.



As Factorial continues to scale, we want to strengthen how we define service health, measure system behavior, standardize observability, validate systems under load, and apply modern AI workflows to help engineers interpret signals and act faster.

The role ?
As a
Staff Engineer
at Factorial, you’ll be part of a team of
200+ Engineers
. We look for people who are curious, proactive, technically strong, and effective communicators. People who enjoy solving complex technical problems, raising standards across teams, and building systems that help the whole organization perform at a higher level.

In this role, you will help shape how Factorial defines, measures, and improves
performance and service health
across the engineering organization. You will work closely with
product teams
and
infrastructure teams
to improve observability, load validation, performance visibility, and the engineering practices around these

📌 Staff Engineer — Performance, Reliability (Madrid)
🏢 Factorial
📍 Madrid