Visual testingAI-assisted test generationDefect predictionPlaywright MCP
IU International University of Applied Science (IU) is Germany's largest university of applied science – and we are not just an excellent choice for studying, but also an outstanding Great Place to Work®! As an Edutech company, we rely on state-of-the-art technology and data-driven approaches.
Responsibilities
Build, maintain, and improve automated testing frameworks across functional, performance, API, and accessibility testing (Playwright, K6)
Contribute to test automation strategy by improving coverage, reliability, and feedback speed in CI/CD pipelines
Review automation code written in TypeScript and JavaScript, sharing best practices and constructive feedback
Apply AI-optimised testing approaches such as visual testing, AI-assisted test generation, defect prediction, and Playwright MCP usage
Design and implement continuous testing practices, including test planning, execution, reporting, and defect analysis
Contribute to discussions on testing architecture, tooling, and quality practices
Support and mentor less experienced engineers through pairing, reviews, and knowledge sharing
Collaborate with DevOps, Platform, Security, and Product teams to embed quality into delivery workflows
Use observability tooling such as Datadog and automation metrics to identify early signs of platform instability
Continuously explore and experiment with tools and techniques that improve test effectiveness and delivery speed
Requirements
Proven experience as a senior test automation engineer in a product-driven engineering environment
Strong hands-on expertise building and maintaining automation frameworks using Playwright
Experience with performance testing, including K6, and analysing performance results
Solid understanding of QA methodologies, SDLC, Agile practices, and CI/CD pipelines
Comfortable reviewing automation code and contributing to shared testing standards
Exposure to AI-powered development or testing tools, including modern IDEs and MCP servers
Working knowledge of Docker or containerised environments
Experience using Datadog or similar observability and troubleshooting tools
Familiarity with cloud environments such as AWS, Azure, or GCP
Strong Git and source-control practices
Collaborative mindset, comfortable working across engineering and product teams
Strong problem-solving skills and a pragmatic approach to improving quality
Benefits
Flexible work arrangements: Remote work, Work from Abroad, Flexible working hours
Use your own technology: Freely choose your equipment and IDE
Continuous learning: Free access to e-learning platforms, option to pursue a technology degree
Sustainable mobility: Subsidized public transport ticket, bike leasing program
Generous time off: 30 flexible vacation days, extra day off on your birthday, free days on Christmas Eve and New Year's Eve
Inclusive culture: Commitment to diversity, equity, and inclusion
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