Senior Software Quality Engineer
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Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
Description
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.
Responsibilities
Qualifications
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.
Responsibilities
- 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
Qualifications
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
Required Experience:
Senior IC
Key Skills
About Company
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 c ... View more
