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Stelle
· Mid-level
QA Automation Engineer - AI-First Quality Engineering
Test Automation Engineer
• Mid-level
• Remote
• Vollzeit
•
EU/EMEA
zvoove is modernizing a business-critical Payroll product and building quality engineering AI-first and automation-first from the start. You will help establish this capability from the ground up.
Responsibilities
- ▹Build an AI-first, automation-first quality engineering approach for Payroll
- ▹Create automated regression coverage for existing and newly modernized capabilities
- ▹Use AI to discover, generate and continuously improve relevant test scenarios
- ▹Create characterization and golden-master style tests for insufficiently protected existing behaviour
- ▹Build automated API, integration and service-level testing
- ▹Establish AI-driven test-data management: realistic and controlled data, variations and edge cases, reusable data sets, gap identification
- ▹Translate complex business rules into automated, repeatable validation with Payroll domain experts
- ▹Use AI to analyse system behaviour, regression risks and test failures, and to identify likely root causes
- ▹Integrate automated quality controls and quality gates into the delivery process
Requirements
- ▹Several years of experience in QA automation, quality engineering or software testing
- ▹Practical experience with API, integration and backend testing, CI/CD pipelines and automated quality gates
- ▹Good scripting skills to automate repetitive technical tasks
- ▹Strong analytical thinking and ability to understand complex business rules
- ▹Automation-first mindset: repetitive validation is automated by default
- ▹AI-first mindset: you naturally consider AI and automation for quality-engineering challenges
- ▹AI-first test data management: generating representative Payroll scenarios and edge cases, maintaining deterministic reusable data sets
Soft skills
Analytical thinkingCollaboration with engineers and domain experts
What we offer
- ▹Empathetic and supportive team
- ▹Room to grow and develop your skills, structured onboarding, training sessions and informal learning
- ▹Interdisciplinary and international teams
- ▹Hybrid work concept (office and home)
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