AI Quality Governance Engineer: Automation & CI/CD

WorkWave

Verona

Hybrid

EUR 38,000 - 48,000

Full time

2 days ago
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Benefits offered by this job

Statutory contributions
TFR accrual
Supplemental healthcare
Smart-working allowances

Job summary

WorkWave, a leading cloud-based software provider for service businesses, seeks an AI Quality Governance Engineer to automate testing and governance for reliable AI-enhanced software delivery.

You will build scalable automation, configure GitHub Actions quality gates, and develop AI utilities such as test skeleton generators and auto-triage pipelines while collaborating with engineering managers on testability gaps.

Qualifications

  • 3+ years in software quality engineering with automation focus.
  • Proficiency in at least one modern language (TypeScript/JavaScript/C#/Python/Java).
  • Hands-on experience with Playwright, Selenium or RestAssured.

Responsibilities

  • Build scalable automated systems and write clean test code.
  • Configure CI/CD quality gates in GitHub Actions to prevent regressions.
  • Develop AI utilities such as test skeleton generators, risk scoring models and auto-triage pipelines.
  • Define done criteria, enforce release standards and track metrics (change failure rate, defect escape rate, day-one AI fluency).
  • Pair with AI assistants (Claude, GitHub Copilot) to draft test suites and design reusable prompt templates.
  • Collaborate with engineering managers to address testability gaps during sprint planning.

Skills

TypeScript
JavaScript
C#
Python
Java

Education

ISTQB certification

Tools

Playwright
Selenium
RestAssured

Job description

WorkWave, a leading cloud-based software provider for service businesses, seeks an AI Quality Governance Engineer to automate testing and governance for reliable AI-enhanced software delivery.

You will build scalable automation, configure GitHub Actions quality gates, and develop AI utilities such as test skeleton generators and auto-triage pipelines while collaborating with engineering managers on testability gaps.

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