Company Description
With over 25 years’ experience, plus the same enormous passion and ambition we had on day-one, we’re trailblazers in the pet e-commerce industry. Our solutions make over 12 million customers genuinely happier – and that’s something we really care about. We work together to continually adapt; embracing change and the challenges it brings so that we can keep doing better. Join us and discover a place where your potential meets your passion for pets. That’s the power of plus.
Job Description
As a AI QA Engineer within our QA Center of Practice, you will be at the forefront of revolutionizing how we approach quality assurance. Your mission will be to define and promote best-in-class QA practices for the entire engineering community at zooplus. This year, our focus is on leveraging the most advanced AI tools and methodologies to significantly increase efficiency and productivity in our QA processes throughout the Software Development Life Cycle (SDLC). You will be a key player in enabling our engineering teams to adopt these innovative, AI-driven quality strategies.
Key Responsibilities
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Research, evaluate, and pilot emerging AI-powered tools for test automation, test data generation, visual testing, and bug detection.
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Develop and document best practices, guidelines, and frameworks for integrating AI into the QA process.
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Create and deliver training and enablement materials to empower the engineering community to adopt AI-enhanced QA techniques.
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Collaborate with development, product, and platform teams to embed these AI-driven practices into their daily workflows and CI/CD pipelines.
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Define and track key metrics to measure the impact of AI adoption on QA efficiency, test effectiveness, and overall product quality.
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Act as a subject matter expert and advocate for AI in Quality Assurance, fostering a culture of innovation and continuous improvement.
Qualifications
Required Qualifications
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A tech-agnostic mindset with a strong foundation in Quality Assurance principles and methodologies.
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Proven experience in software testing and test automation using modern frameworks and languages (e.g., Selenium, Cypress, Playwright with Java, Python, or JavaScript).
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A strong interest in or hands-on experience with applying AI tools to the QA domain (e.g., AI-assisted test case generation, self-healing tests, anomaly detection).
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Familiarity with CI/CD pipelines and integrating quality gates within them.
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Excellent communication skills with the ability to create clear documentation and effectively train other engineers.
Core Competencies
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AI in Quality Assurance: A passion for exploring and applying AI to solve complex QA challenges.
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Test Strategy & Innovation: Ability to think strategically about quality and drive innovative new approaches.
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Community Enablement: Skill in mentoring, training, and influencing a large engineering organization.
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Analytical Thinking: Capable of defining metrics and analyzing data to prove the value of new initiatives.
Additional Information
Headquartered in Munich, with offices across Madrid, Krakow, Wroclaw, London and Vienna, we collaborate because we genuinely love working together - so you’ll be at the heart of an incredible, multinational team. We trust each other to get the job done, which means you’ll benefit from hybrid working, spending 60% of your time in the office and 40% at home. There’s an option to work for 20 days abroad in approved countries too.
Add to that development opportunities that help you to shape your own career path, excellent training and support, wellbeing offers, subsidised transport or bike leasing, plus 20% discount across all our products, and you’ll begin to get a sense of what sets us apart. Find out more about the specific benefits at your local office in our blog posts.
At zooplus, we believe in equal opportunity and support everyone to fulfil their potential. We recognise the power of listening and learning from each other and embrace diversity and inclusion of all.
#LI-Hybrid
