Senior Test Automation QA (SDET) - R&D

Diebold Nixdorf automates, digitizes, and transforms banking and shopping experiences for over 75 million people globally. The role involves designing, developing, and maintaining automated tests across UI, API, and integration layers, collaborating with developers, product managers, and DevOps to embed quality into the SDLC and accelerate delivery through scalable test automation. The position offers a hybrid work model with a minimum of 3 days per week in the Katowice office.

• 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 and admin tools (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 and 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.