🇩🇪 Düsseldorf, Germany · 6w ago

QA Tech Lead (all genders)

Publicis Groupe Holdings B.V

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You will establish and scale Quality Assurance as a cross-cutting engineering capability across multiple cross-functional Scrum teams. In a matrix organization with distributed QA capacity, your mission is to: Enable teams to own quality end-to-end Build a scalable QA platform and operating model Drive automation, AI adoption, and engineering best practices You act as a Functional Lead for QA Engineering. QA Engineers are embedded in cross-functional Scrum teams, working alongside Lead Developers, Software Engineers, DevOps Engineers and Technical Product Managers. You ensure alignment, standards, and quality consistency across all teams. QA Strategy & Operating Model Define and implement a scalable QA operating model across multiple teams Establish clear QA standards, processes, and governance Balance team autonomy with centralized QA best practice Continuously evolve QA as a platform capability within Engineering Cross-Team Leadership in a Matrix Organization Lead QA engineers across multiple cross-functional teams (functional leadership) Ensure consistent QA practices, tools, and quality standards across all teams Act as the central point of coordination for QA topics across engineering QA Enablement & Shared Ownership of Quality Enable development teams to take shared ownership of quality (shift-left) Collaborate closely with Lead Devs, DevOps Engineers, Technical Product Managers Provide training, coaching, and guidelines for QA best practices Reduce dependency on centralized QA execution through enablement Automation & QA Platform Engineering Design and drive test automation strategies (smoke, regression, API, E2E) Build reusable QA frameworks and integrate them into our Engineering Platform Integrate automated testing into CI/CD pipelines (Azure DevOps, YAML) Ensure scalability and maintainability of automation across teams AI-driven QA Innovation Evaluate and implement AI-powered QA solutions, such as: Test generation Regression automation Test coverage analysis Use AI to improve efficiency and scalability of QA across multiple teams Quality Engineering & Governance Define and enforce quality gates (e.g. SonarQube, pipeline checks) Establish and track QA metrics (coverage, defects, release quality, etc.) Implement monitoring, logging, and feedback loops for production quality Ensure robust systems via performance, load, and security testing strategies Team Development & Scaling Build and develop the QA team as it grows Define specialization areas (e.g. automation, performance, exploratory testing) Mentor QA engineers and support their career growth Ensure high-quality execution and continuous improvement of QA practices MUST HAVE 5+ years of experience in Quality Assurance and Software Engineering Proven experience in leading QA across multiple teams or products Strong expertise in test automation and QA architecture Experience working in a matrix organization and cross-functional teams Deep understanding of modern QA methodologies, tools, and processes Hands-on experience with CI/CD and automated testing integration Strong engineering background (ideally .NET / C# and distributed systems) Experience with AI-driven QA tools or strong interest in applying AI in QA GOOD TO HAVE Experience with: Test automation frameworks (e.g. Playwright, Selenium) API testing (e.g. Postman) Performance testing (e.g. JMeter, Azure Load Testing) Cloud architectures (Azure, microservices, serverless) Modern engineering platforms and internal developer portals (e.g. Port.io, Backstage). WHAT SUCCESS LOOKS LIKE Within the first 6–12 months: A clearly defined and adopted QA operating model across all teams Consistent QA practices and standards across the organization Significantly increased automation coverage and CI/CD integration Development teams actively owning and executing quality practices Successful introduction of AI-supported QA workflows Quality Metrics and regular reporting Improved product stability, performance, and release quality

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