QA engineer (auto) for commerce platforms

Commerce organizations use digital platforms to scale operations and integrate new technologies while maintaining reliable, seamless, and trusted digital experiences.

• Implement and evolve testing capabilities, including component-testing frameworks, and improve or migrate automation frameworks in line 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; 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; 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 collaboration across Product, Engineering, DevOps, business stakeholders, Maisons, and external partners; align expectations, facilitate quality decisions, and ensure risks, dependencies, and actions are understood and owned
• Produce quality status updates, 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

• 5+ Years in Quality Assurance or Quality Engineering in complex digital environments, 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
• Будет плюсом: Practical understanding of AI-assisted testing

• Условий в вакансии нет