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About the role
Key responsibilities & impact- Build an AI-first, automation-first quality engineering approach for Payroll
- Create automated regression coverage for existing and newly modernized Payroll capabilities
- Use AI to discover, generate and continuously improve relevant test scenarios
- Create characterization and golden-master style tests for existing behavior
- Build automated API, integration and service-level testing
- Establish AI-driven test-data management
- Generate realistic and controlled test data, variations and edge cases
- Maintain reusable test-data sets and identify missing scenarios
- Manage test data safely and reproducibly
- Work with Payroll domain experts to translate complex business rules into automated validation
- Analyze system behavior and identify regression risks using AI
- Analyze test failures, cluster defects and help identify likely root causes using AI
- Integrate automated quality controls and quality gates into the delivery process
Requirements
What you’ll need- Several years of experience in QA automation, quality engineering or software testing
- Strong understanding of automated testing principles
- Practical experience with API, integration and backend testing
- Experience with CI/CD pipelines and automated quality gates
- Good scripting skills
- Ability to automate repetitive technical tasks
- Strong analytical thinking
- Ability to understand complex business rules and work closely with engineers and domain experts
- Automation-first mindset
- AI-first mindset
- Ability to use AI as a fundamental part of quality strategy for creating and managing test data
- Ability to generate representative Payroll scenarios, controlled variants and edge cases using AI
- Ability to identify gaps in existing test data
- Ability to maintain reusable, deterministic, explainable test data sets suitable for automated regression testing
- Payroll knowledge is not required
Benefits
Comp & perks- Collaboration within an empathetic and supportive team
- Opportunities to use your knowledge and personal strengths and continue developing your skills and career
- Structured onboarding process
- Training sessions and informal learning formats
- Working in interdisciplinary and international teams
- Hybrid work concept: working in the office, from home, on the move and on workations
- Modern tech stack
- Agile working methods
- Pension scheme
- Health management
- Staff discounts
- Well-behaved dogs welcome at all locations