(Senior) Quality Engineer - Data Intelligence & AI (m/f/d)
QPLIX GmbH3 days ago
Munich, GermanySenior
Responsibilities
- Own and continuously improve the quality strategy for the Data Intelligence team, including AI and GenAI systems.
- Design, execute, and maintain manual tests, automated tests, and AI evaluations.
- Work with development and product teams to define test scenarios and measurable AI quality criteria.
- Identify quality risks, analyze defects and root causes, and help prevent recurring issues.
- Share QA expertise and improve quality practices across the delivery unit.
- Translate business requirements into effective test scenarios for complex financial software.
Requirements
- A degree in computer science, a comparable technical background, or equivalent relevant professional experience.
- Several years of experience in software QA, test engineering, or a related role.
- Programming experience in Python and C# or another object-oriented language.
- Hands-on experience testing AI and GenAI systems and understanding non-deterministic AI behavior.
- Practical experience with test automation tools and frameworks such as Playwright and API testing.
- Interest in financial topics and ability to translate business requirements into effective test scenarios.
- Experience using AI-assisted tools to improve development or QA workflows.
- Strong English skills; German is a plus.
- Preferred: experience with complex datasets, MongoDB, data-intensive systems, non-functional testing, financial services or asset management, and ISTQB or similar QA certification.
Benefits
- Attractive salary and benefits including a latest Apple or Android smartphone, training budget, and gym membership.
- Diverse development opportunities in a dynamic environment.
- Strong team spirit, flat hierarchies, and short decision-making processes.
- Headquarters located in Munich.
- Equal opportunity employer committed to inclusion and diversity.
About QPLIX GmbH
QPLIX GmbH builds a SaaS platform for digital wealth and portfolio management used by single- and multi-family offices, asset managers, private banks, foundations, and institutional investors. The system consolidates data across liquid and illiquid assets and supports real-time analysis via a core application, client portal, and app. Founded in 2012 by Kai Linde, Philipp Pötzl, and Mathias Lindermeir, it is headquartered in Munich and reports more than €300 billion managed on its platform across the EMEA region.