QA Engineer - E-commerce

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.