Overview
About Qualysoft
Full 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
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.
• 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.
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