SPEED & SPIRIT is what we look for in our candidates, defined by some simple values that inspire us to BE DRIVEN in our performance, BE VIBRANT in our sporting legacy, BE TOGETHER in our team spirit, and to let our individual talent and experience shine. Applying for a job at PUMA is easy.

Simply click APPLY ONLINE and follow the steps to upload your application.

YOUR MISSION

About the Organisation & Role:

You will be part of the DTC Platform Engineering organisation responsible for delivering the shared platforms, engineering services, and foundations that enable product teams to build, test, deploy, and operate software securely and reliably at scale. Product engineering teams are the primary customers of the organisation. Through capabilities such as cloud platforms, developer experience, software delivery, quality engineering, security engineering, performance engineering, and AI-native engineering enablement, the organisation helps accelerate software delivery, improve engineering productivity, and establish consistent engineering standards across the technology landscape.

As a Lead Quality Engineer – Regression & Automation, you will define and drive the quality engineering strategy across the Direct-to-Consumer (DTC) technology landscape. Working within the Platform Engineering organization, you will establish quality standards, test architecture, automation frameworks and engineering best practices. You will lead quality enablement across web, mobile, commerce, integrations and platform services, partnering closely with engineering, product and platform teams to embed quality throughout the software development lifecycle. Your focus will be on empowering product teams through reusable tooling, automation platforms, quality insights, governance frameworks and modern testing practices that improve release confidence, delivery speed and platform stability.

What you will do:

· Define and drive the Regression Testing, Test Automation, and Quality Engineering strategy across multiple products and engineering teams.

· Lead one or more automation teams, providing technical leadership, mentoring, and capability development.

· Own automation architecture, framework design, tooling decisions, and engineering standards for quality delivery.

· Establish and maintain scalable automation frameworks for Web, Mobile, API, Integration, and End-to-End testing.

· Drive shift-left quality practices and integrate automated testing into CI/CD pipelines and release processes.

· Ensure comprehensive regression coverage and continuously optimize test suites for reliability, maintainability, and execution efficiency.

· Define quality metrics, automation KPIs, release-readiness criteria, and engineering quality dashboards.

· Partner with Product, Engineering, DevOps, SRE, and Architecture teams to embed quality throughout the software development lifecycle.

· Drive adoption of modern testing practices including API-first testing, service virtualization, test data management, and AI-assisted testing.

· Lead continuous improvement initiatives that enhance automation coverage, reduce defect leakage, and improve release confidence

YOUR TALENT

· 10+ years of experience in Quality Engineering, Test Automation, and Software Testing, including leadership of automation teams.

· Strong expertise in designing and implementing scalable automation frameworks and test architectures.

· Proven experience leading enterprise-wide regression testing and quality engineering initiatives.

· Hands-on experience with automation tools such as Playwright,Maestro or Appium.

· Strong programming skills in JavaScript/TypeScript, Python or a comparable language.

· Hands-on experience with API and integration test automation, including REST and GraphQL services.

· Experience integrating automated testing into CI/CD pipelines using GitHub Actions or equivalent.

· Strong understanding of Agile delivery practices, test strategy, quality governance, and release management.

· Experience with performance testing, observability, production validation, and non-functional testing approaches.

· Experience with AI-assisted testing, intelligent regression testing or LLM powered quality engineering solutions is highly desirable.

· Experience with cross-browser, cross-platform and cross-operating system test automation using BrowserStack, LambdaTest or equivalent testing platforms is a plus.

· Experience in eCommerce, retail, or consumer digital products is strongly preferred.

· Strong leadership, stakeholder management, problem-solving, and communication skills with the ability to influence engineering quality across multiple teams.

· Experience validating experimentation platforms, feature flags, and A/B testing programs is a plus.

· Bachelor's degree in Computer Science, Information Technology, Engineering or a related field.

PUMA provides equal opportunities for all job applicants, regardless of race, color, religion, national origin, sex,

gender identity or expression, sexual orientation, age, or disability. Equality for all is one of the core principles at

PUMA and we do not tolerate any form of harassment or discrimination.

At PUMA, every application is reviewed by real people who are committed to fairness, transparency, and equal

opportunity - no matter your background, identity, or experience.To ensure our process stays true to these values, no automated systems or AI tools are used to make hiring decisions. Every decision is made by real people -with real judgment and accountability. We may use functions supported by Artificial Intelligence (AI) to carry out isolated organizational steps, such as scheduling interviews. These functions have no influence on decisions in the application process. We believe in creating spaces where everyone is welcome, celebrated, and empowered to contribute authentically. Because at PUMA, whoever wants to play, can play.

PUMA is a global sports brand creating footwear, apparel, and accessories that inspire athletes and everyday movers. The PUMA Group owns PUMA, Cobra Golf, and stichd, operates in 120+ countries, and has around 22,000

employees worldwide.