IONOS is forming an engineering unit dedicated to the strategic modernization of the
Nextcloud Office
ecosystem. Our mission is to transform the existing Only Office core into a high-performance, real-time collaborative suite that sets new industry standards for speed and responsiveness.
We operate as a high-velocity lab, solving deep architectural challenges at the intersection of legacy systems and modern web technologies.
We don’t just maintain software; we re-engineer it for the future.
This team offers the stability of an industry leader with the agility of a tech startup.
The Role: The Testing Force Multiplier
As our SDET & AI Automation Specialist, you are the force multiplier for our quality control. Your goal is to manage an automation "strike force" that would traditionally require a team of five, utilizing
a limitless AI budget
and cutting‑edge tools.
Key Responsibilities
Automated Suite Generation : Use AI to rapidly "prompt" end-to-end (E2E) test cases into existence.
You won't write selectors manually; you will orchestrate AI to analyze the UI and generate robust, self‑healing tests.
Bot Swarm Orchestration : Maintain and run "Headless Bot" clusters that simulate complex user behavior (multi‑user typing, heavy spreadsheet calculations) to stress‑tset the synchronization logic.
Intelligent Regression Maintenance : Leverage AI to automatically update test suites when the UI/UX changes, ensuring our "Green Build" status is never compromised by brittle tests.
Continuous Monitoring: Analyze test logs and performance traces using LLMs to identify the "Root Cause" of failures across the JS/C++ bridge.
Technical Profile
We are looking for someone who wants to build:
Master Prompter : Expert at using AI to generate code, mocks, and synthetic test data.
Infrastructure : Comfortable with Docker and CI/CD environments to manage large‑scale test execution.
The Performance Edge : You likely have a background in SDET or Load/Stress Testing roles. You are pas
📌 SDET & AI Automation Specialist (Madrid)
🏢 Ionos
📍 Madrid