AI-Driven QA Engineer: Tooling & Testing Innovator

Zooplus

Madrid

Híbrido

EUR 55.000 - 75.000

Jornada completa

Hace 5 días
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Ventajas ofrecidas por este puesto de trabajo

Hybrid working
60% in office / 40% at home
20 days abroad in approved countries
Development opportunities
Excellent training and support
Wellbeing offers
Subsidised transport or bike leasing
20% product discount

Descripción de la vacante

Zooplus in Madrid is seeking a QA Engineer to redefine quality assurance by leveraging AI-driven methods across the SDLC. You will help establish best practices and empower teams to ship reliable software.

The role emphasizes AI-enabled test automation and collaboration with development and product teams to measure and improve QA efficiency and product quality. This position follows a hybrid work model with office presence in Madrid and growth opportunities.

Formación

  • Strong foundation in QA principles and methodologies.
  • Interest in applying AI tools to QA (AI-assisted test case generation, anomaly detection).
  • Familiarity with CI/CD pipelines and quality gates.
  • Excellent written and verbal communication for documentation and training.

Responsabilidades

  • Research, evaluate, and pilot AI-powered test tools for automation and AI-driven QA.
  • Develop guidelines and frameworks for integrating AI into the QA process.
  • Create training materials to enable engineers to adopt AI-enhanced QA techniques.
  • Collaborate with development, product and platform teams to embed AI QA into daily workflows and CI/CD pipelines.
  • Define metrics to measure the impact of AI adoption on QA efficiency, test effectiveness, and product quality.
  • Advocate for AI in Quality Assurance and foster a culture of innovation and continuous improvement.

Conocimientos

QA principles
AI in QA
CI/CD pipelines
Communication skills

Descripción del empleo

Zooplus in Madrid is seeking a QA Engineer to redefine quality assurance by leveraging AI-driven methods across the SDLC. You will help establish best practices and empower teams to ship reliable software.

The role emphasizes AI-enabled test automation and collaboration with development and product teams to measure and improve QA efficiency and product quality. This position follows a hybrid work model with office presence in Madrid and growth opportunities.

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