R&D Test Automation QA (SDET)

Diebold Nixdorf automates, digitizes, and transforms the way more than 75 million people globally bank and shop in a hyper-connected, consumer-centric world.

• Self-driven person with the ability to turn test scenarios into automated E2E tests
• 3+ years in test automation or software engineering with a strong automation focus
• Knowledge of a modern programming language (C#)
• Hands-on experience with Docker, Jenkins, Git, JIRA/X-Ray
• Experience with Selenium/Selenoid or comparable Test Automation Framework (e.g., Playwright)
• Experience with Windows and Linux Operating Systems (admin tools such as Microsoft Visual Studio, SQL Management Studio, installation scripts)
• Detailed understanding of software testing principles and Agile development process
• Ability to write technical documentation
• Good English communication skills (speaking and writing) and ability to work in international teams

Nice to have:

• Experience in using AI in the testing process, e.g., GitHub CoPilot (including concept of MCP’s)
• API testing experience (JMeter, Postman, Swagger, REST)
• Experience with performance testing
• Experience with Elastic stack
• Experience with RabbitMQ
• Experience with integrating hardware simulation with E2E testing

• Design & Build Automation: Create robust, maintainable automated test suites (UI and integration) aligned with architecture and coding standards.
• CI/CD Integration: Integrate test suites into pipelines.
• Test Data & Environments: Support deterministic test data strategies and ensure environment readiness and observability.
• Quality Analytics: Support tracking quality KPIs (coverage by critical path, defect escape rate) and drive continuous improvements.
• Code Quality: Review automation code, enforce standards, and support QA engineers on testability, patterns, and best practices.
• Defect Management: Triage failures, perform root cause analysis, and collaborate to prevent recurrence via guardrails and automation.
• Documentation: Maintain living documentation for test strategy, frameworks, environments, and runbooks.
• Experimenting with AI Technologies in Test Automation: Implement AI-based solutions for test generation, coverage analysis, anomaly detection, and regression optimization.

Location: Hybrid model is possible (minimum 3 days in Katowice office per week).