Senior Software Quality Engineer

Monitors overall quality in terms of correctness, completeness, functional and nonfunctional suitability, accuracy, integrity, scalability, reliability and performance of the various components of DN products, systems and networks. Responsible for integrating applications into monitoring solutions and building and maintaining functional and/or performance test frameworks. Analyzes and conducts thorough quality assurance inspections and quality-control tests to ensure that hardware and software operates properly, is defect-free, and meets or exceeds specified standards and end-user requirements. Drives continual process improvements in the evolution of testing procedures, including development / application of automated procedures, for future replication.

Why should you join Diebold Nixdorf?

Brightest minds + technology and innovation + business transformation  The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce. Our culture is fueled by our values of collaboration, decisiveness, urgency, willingness to change, and accountability.

–Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.

** To all recruitment agencies: Diebold Nixdorf does not accept agency resumes. Please do not forward resumes to our jobs alias, Diebold Nixdorf employees or any other organization location. Diebold Nixdorf is not responsible for any fees related to unsolicited resumes**

We are a global Company operating in multiple Locations and Entities. As we are keen to find the best solution for our candidates several legal entities might be applicable for a Job offer. A List of our operating entities can be found here - https://www.dieboldnixdorf.com/en-us/about-us/global-locations

• Define, create, maintain and execute both manual and automated tests for existing products with medium to complex testing efforts
  Develop and execute acceptance tests
• Drive and implement automated testing strategies as required
• Participate in the definition and development of test automation tools & utilities, performance testing, and automated test data generation
• Identify and provide feedback on gaps/anomalies in the requirements (user stories)
• Determine root causes across multiple symptoms and validate solutions
• Work with local and remote teams to drive a quality-centric test strategy
• Ability to work independently and collaboratively with minimal supervision
• Involvement with pre-deployment validation activities
• Leverage GitHub Copilot or similar AI assistants to accelerate writing automated test scripts, optimize test design, generate test data, and improve documentation quality
• Use AI-driven code suggestions to improve automation framework scalability, reduce repetitive coding effort, and enhance overall test productivity
• Apply AI-based analysis tools for log analysis, anomaly detection, and faster triaging of defects

Required Qualifications

• Minimum of 5 years of experience as a tester, developer, or other relevant role
• Experience with automation tools required
• Performance & Load testing for Cloud-based solutions
• Ability to create automated tests from user stories, execute tests, and record results
• Experience with automated testing frameworks, tools, and services
• Knowledge of/Familiarity with DevOps and CI/CD concepts
• Demonstrated ability to write automation scripts for new functionality
• Ability to proactively learn and apply test design principles
• Strong analytical skills in manual testing approaches
• Be a problem solver
• Find creative solutions for tough problems
• Critical thinker
• Excellent written & verbal communication skills
• Experience using AI tools such as GitHub Copilot, ChatGPT, or IDE-based assistants to streamline test development and documentation

• Ability to use AI copilots for generating unit/automation test skeletons, refactoring code, or improving test coverage

  
  

  
  Preferred Skills:

  
  
• Splunk or other data analysis tools
• Azure Cloud
• Azure DevOps, CI/CD
• Experience with Agile software development methodologies
• Practical experience using AI copilots to enhance developer workflows, automate repetitive tasks, and support continuous quality efforts
• Understanding of AI/ML Concepts: supervised/unsupervised learning, deep learning
• Data Handling and Analysis: working with large datasets, data quality validation, data-driven testing
• AI Model Testing: bias detection, robustness testing, performance evaluation
• AI Frameworks & Tools: TensorFlow, PyTorch, or AI testing frameworks
• Familiarity with AI-assisted test case generation and AI-based defect prediction or risk-based testing models