Lead/ Senior - Quality Assurance

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 Himalayas