Lead/ Senior - Quality Assurance

Inivos ( www.inivosglobal.com) leads innovation in technology, specializing in Product Development, Enterprise Solutions and Staff Augmentation. Our team of over 180 professionals, including developers, quality engineers and consultants, delivers cutting-edge solutions that set new industry benchmarks. Within just six years, we’ve established a robust client base across North America, the UK, Scandinavia, South Africa, UAE, Sri Lanka, Bangladesh, Singapore, Netherlands and Australia. Job Description Own QA activities across client implementations and provide final quality sign-off before go-live. Define the test approach for every implementation, covering data onboarding, dashboards, and the AI-driven analytics experience. Validate that client data is complete and correctly transformed at every stage of the pipeline, from source systems through to the reporting layer. Reconcile key business metrics on the platform against the client's own existing reports and resolve every discrepancy before launch. Verify the accuracy of AI-generated answers against the client's source data, so results are proven correct rather than assumed. Build automated data validation and reconciliation checks that can be reused across implementations, reducing verification effort for each new client. Plan and run user acceptance testing with client teams, and consolidate their findings into a clear, prioritized action list. Manage defects found during implementation through to verified resolution, working with both the engineering and data teams. Run regression checks after platform updates or client data changes to confirm existing implementations remain accurate. Report implementation quality and go-live readiness to leadership and client stakeholders. Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field. 5+ years of experience in QA/Software Testing for Senior QA Engineer level, or 8+ years for Lead QA Engineer level. Strong experience in software testing, test planning, and defect management. Proficient in SQL and data validation. Experience in testing data pipelines, dashboards, reports, and analytics platforms. Experience with test automation and regression testing. Experience in API and integration testing. Experience in planning and conducting UAT. Familiarity with cloud platforms such as Azure. Experience with AI-driven applications or analytics would be an added advantage. Strong analytical, problem-solving, and communication skills. Competitive compensation. Recognition & appreciation. International exposure. Remote working model.