Senior Test Performance Engineer-QA (UI& API Testing)

Diebold Nixdorf automates, digitizes, and transforms the way more than 75 million people around the globe bank and shop in a hyper-connected, consumer-centric world. The role involves ensuring optimal speed, scalability, and reliability of applications through UI and API performance testing across front-end and back-end components.

• Self-driven person with the ability to design and implement performance test scenarios and turn them into automated load and stress tests.
• Minimum 3 years experience 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 JMeter or comparable Performance Testing Tool.
• Experience with Selenium/Selenoid or comparable Test Automation Framework (e.g., Playwright).
• Experience with Windows and Linux Operating Systems (admin tools e.g., 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).
• Experience with Elastic stack.
• Experience with RabbitMQ.
• Experience with integrating hardware simulation with end-to-end testing.

Non-Functional Testing:

• Contribute to performance (e.g., smoke/load scripts).

Test Development & Execution:

• Develop automated performance test scripts.
• Simulate real-world usage scenarios for UI and API endpoints under varying loads.

Monitoring & Analysis:

• Collect and analyze performance metrics.
• Identify bottlenecks for front-end and API.

CI/CD Integration:

• Integrate test suites into pipelines.

Test Data & Environments:

• Support deterministic test data strategies.
• Ensure environment readiness and observability.

Quality Analytics:

• Support tracking quality KPIs (coverage by critical path, defect escape rate).
• Drive continuous improvements.

Code Quality:

• Review automation code.
• Enforce standards.
• Mentor engineers on testability, patterns, and best practices.

Defect Management:

• Triage failures.
• Perform root cause analysis.
• 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.

Minimum 3 days in Katowice office per week required for hybrid work model.