QA Engineer - E-commerce

Job description

**About Qualysoft** · 25 years of experience in software engineering, established in Vienna, Austria · Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B) · Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development · We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms · Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech · Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia · International team of 500+ software engineers · Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner · Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation. · Project beneficiaries ranging from large-scale enterprises to startups · Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions · Quality-first mindset, culture of innovation, and long-term client partnerships · Global and local reach – trusted by key industry players in Europe and the US ### Responsibilities: You are responsible for the quality assurance of our software products throughout the entire development lifecycle and you establish and maintain a comprehensive QA and test strategy, drive test automation and Shift-Left practices, and ensure continuous quality and efficiency improvements through data-driven monitoring and the targeted use of AI tools. • Creation, documentation and iterative further development of a company-wide QA and test strategy as a living document – aligned with product development, team structure and technological advancements. • Early involvement in requirements reviews, Definition of Ready, acceptance criteria and architecture decisions to embed quality into the development process from the outset. • Continuous evaluation and enhancement of QA methods, standards and processes based on metrics and retrospectives. • Identification, evaluation and structured integration of suitable AI tools (e.g. for test generation, error classification or predictive test selection) into existing QA workflows. • Development, maintenance and coverage analysis of all test cases (UI, API, End-to-End). • Creation and maintenance of manual and automated UI and API tests. • Coordination and execution of exploratory and regression test runs. • Planning and execution of QA events (e.g. test sessions) in the context of go-lives. • Implementation, operation and further development of test automation solutions. • Integration of automated tests into GitLab CI pipelines. • Maintenance of internal QA repositories including branch and role structure in GitLab. • Taking on minor DevOps tasks to support build and deploy processes. • Setup and maintenance of Datadog dashboards for runtime monitoring of tests and system behaviour in staging and production environments. • Evaluation of automated test reports and derivation of concrete measures. • Transparent quality reporting as a basis for team and management decisions. • Management of defects/bugs: prioritisation, tracking, reporting and maintenance of the bug board. • Setup and maintenance of test data (test case matrix, customer and item matrix, payment data) for staging environments. • Ensuring the stability and functionality of staging environments. • Close alignment with Software Engineers, Tech Lead, Product Owner, UX/UI and QA Services – particularly in early development phases in line with the Shift-Left approach. • Mutual support with and for test automation engineers. • Contribution to the preparation of tender documents in the QA domain. ### Qualifications: • Project Management & Documentation: JIRA / Confluence; • UI Automation: Playwright (TypeScript), Appium ; • API Testing: ReadyAPI ; • CI/CD & Version Control: Git / GitLab; • Cross-Browser & Mobile Testing: BrowserStack, Mobile Test Devices; • Monitoring & Observability: Datadog; • AI-Powered Tools: Claude Code, Cursor, GitHub Copilot, AI-based Test Generation, LLM-driven Error Analysis; • Test Data Management: Custom-built Test and Data Matrices.