Inivos ( 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.
Requirements
- 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.
Benefits
- Competitive compensation.
- Recognition & appreciation.
- International exposure.
- Remote working model.
Originally posted on