QA Engineer (AI Infrastructure) | QA Engineer (w/m/d) AI Infrastructure
FAST LTA GmbH
Job Summary
As a QA Engineer for AI Infrastructure, you will play a critical role in ensuring the reliability and performance of a local AI platform deployed in real-world data centers. Your day-to-day responsibilities include performing manual software and hardware testing, defining robust test strategies, and establishing transparent QA processes from test management to release reporting. You will work closely with the AI development team to track and verify bug fixes using tools like Jira. This role is ideal for an analytical thinker who enjoys bridging the gap between technical infrastructure and quality assurance. You will contribute to a market-leading company specializing in secure long-term data storage, working in a dynamic environment that values professional growth, flexible working conditions, and a collaborative team culture. The position offers a unique opportunity to build QA frameworks for specialized AI hardware and software environments.
Required Skills
Education
University degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Experience
- 3+ years of professional experience in QA engineering
- Experience in backend, infrastructure, or appliance environments
- Proficiency in Linux shell workflows and Python-based testing
- Experience with test management tools and incident tracking systems
- Experience with CI/CD pipelines and containerized environments
Languages
Additional
- Valid work permit for Germany required. The role is based in Munich, Germany.
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