QA Lead

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.

Responsibilities

Implement and evolve testing capabilities, including component-testing frameworks, and improve or migrate automation frameworks while aligning coverage with the test pyramid Coordinate testing across delivery teams and releases, tracking scope, progress, environments, data, dependencies, blockers and residual risks throughout each sprint Lead defect qualification, prioritization, investigation and follow-up, and coordinate root-cause analysis and facilitate risk-based arbitration with Product and Engineering Own the regression suite and automation roadmap, improving reliability, maintainability, execution stability, traceability and relevance to production risks Lead the nearshore managed-service team in Morocco by defining priorities, capacity, deliverables, service levels and operating routines, and challenge estimates, commitments, evidence and coverage gaps Retain internal ownership of QA KPIs, definitions, source data and calculation rules, review provider reporting and use metrics to drive accountability and improvement Build 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 owned Produce quality status, release-risk assessments and test exit recommendations for technical and non-technical stakeholders Explore practical AI-assisted QA use cases for test design, coverage analysis, defect triage, evidence synthesis and maintenance optimization, with appropriate review and traceability Requirements 5+ years in Quality Assurance or Quality Engineering in complex digital environments, with experience coordinating several teams while remaining hands-on Strong experience in test strategy, risk-based coverage, component, API, integration, end-to-end, regression and exploratory testing Proven ability to design, improve or migrate automation frameworks and integrate automated tests into CI/CD pipelines Proven 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 plans Solid understanding of system integrations, microservices and e-commerce or commerce platforms Ability to use QA metrics such as coverage, regression health, automation stability, defect leakage and defect ageing for decision-making Practical understanding of AI-assisted testing is an advantage