Commerce platforms are under pressure to scale digital operations while integrating new technologies without compromising reliability. The challenge is to maintain quality assurance that keeps pace with evolving production risks and complex delivery environments. In Lisbon, this QA Lead role is central to supporting transformation in the commerce sector, ensuring that operational standards are not only met but advanced. You will shape how quality is measured and maintained across teams, with a mandate to drive accountability and clarity. Commerce organizations depend on robust quality assurance to deliver seamless, trusted digital experiences.ResponsibilitiesImplement and evolve testing capabilities, including component-testing frameworks, and improve or migrate automation frameworks while aligning coverage with the test pyramidCoordinate testing across delivery teams and releases, tracking scope, progress, environments, data, dependencies, blockers and residual risks throughout each sprintLead defect qualification, prioritization, investigation and follow-up, and coordinate root-cause analysis and facilitate risk-based arbitration with Product and EngineeringOwn the regression suite and automation roadmap, improving reliability, maintainability, execution stability, traceability and relevance to production risksLead the nearshore managed-service team in Morocco by defining priorities, capacity, deliverables, service levels and operating routines, and challenge estimates, commitments, evidence and coverage gapsRetain internal ownership of QA KPIs, definitions, source data and calculation rules, review provider reporting and use metrics to drive accountability and improvementBuild effective collaboration across Product, Engineering, DevOps, business stakeholders, Maisons and external partners, align expectations, facilitate quality decisions and ensure risks, dependencies and actions are clearly understood and ownedProduce quality status, release-risk assessments and test exit recommendations for technical and non-technical stakeholdersExplore practical AI-assisted QA use cases for test design, coverage analysis, defect triage, evidence synthesis and maintenance optimization, with appropriate review and traceabilityRequirements5+ years in Quality Assurance or Quality Engineering in complex digital environments, with experience coordinating several teams while remaining hands-onStrong experience in test strategy, risk-based coverage, component, API, integration, end-to-end, regression and exploratory testingProven ability to design, improve or migrate automation frameworks and integrate automated tests into CI/CD pipelinesProven experience leading nearshore QA teams in a managed-service model, including capacity and delivery steering, KPI and service-level reviews, constructive challenge of estimates and commitments, evidence assessment, performance follow-up and continuous improvement plansSolid understanding of system integrations, microservices and e-commerce or commerce platformsAbility to use QA metrics such as coverage, regression health, automation stability, defect leakage and defect ageing for decision-makingPractical understanding of AI-assisted testing is an advantageWe offerCompetitive compensation depending on experience and skillsVariety of projects within one companyBeing a part of a project following engineering excellence standardsIndividual career path and professional growth opportunitiesInternal events and communitiesFlexible work hours