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Stelle · Mid-level

QA Automation Engineer - AI-First Quality Engineering

Test Automation Engineer • Mid-level • Remote • Vollzeit • Europäische Union 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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