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Inivos

Lead – Senior Quality Assurance

Inivos

Lead QA engineer validating Inivos client data, dashboards, analytics, and AI-driven applications. Owning test strategy, automation, UAT, defect resolution, and go-live quality sign-off.

Posted 8/14/2026contractRemote • 🇱🇰 Sri LankaSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in QA activities, including test planning, data validation, and defect management, with a strong focus on AI-driven analytics and cloud platforms. Proficient in executing user acceptance testing and ensuring go-live readiness through comprehensive quality assurance processes.

Highest-signal resume keywords
QA Activities OwnershipTest PlanningSQL ProficiencyTest AutomationUser Acceptance Testing (UAT)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software TestingDefect ManagementData ValidationRegression TestingAPI TestingIntegration TestingData Pipeline TestingDashboard TestingAnalytics Platform TestingAI-Driven Applications Testing
Soft Skills
Analytical SkillsProblem-Solving SkillsCommunication Skills
Tools & Technologies
Azure
Industry Keywords
Quality AssuranceClient ImplementationsData OnboardingReporting LayerBusiness MetricsImplementation DefectsRegression ChecksGo-Live Readiness

Tech Stack

Tools & technologies
AzureCloudSQL

About the role

Key responsibilities & impact
  • 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 client data completeness and correct transformation from source systems through the reporting layer
  • Reconcile platform business metrics against clients’ existing reports and resolve discrepancies before launch
  • Verify AI-generated answers against client source data
  • Build reusable automated data validation and reconciliation checks
  • Plan and run user acceptance testing with client teams and consolidate findings into a prioritized action list
  • Manage implementation defects through verified resolution with engineering and data teams
  • Run regression checks after platform updates or client data changes
  • Report implementation quality and go-live readiness to leadership and client stakeholders

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field
  • 5+ years of QA/Software Testing experience for Senior QA Engineer level, or 8+ years for Lead QA Engineer level
  • Strong experience in software testing, test planning, and defect management
  • Proficiency in SQL and data validation
  • Experience testing data pipelines, dashboards, reports, and analytics platforms
  • Experience with test automation and regression testing
  • Experience with API and integration testing
  • Experience planning and conducting UAT
  • Familiarity with cloud platforms such as Azure
  • Experience with AI-driven applications or analytics is an added advantage
  • Strong analytical, problem-solving, and communication skills

Benefits

Comp & perks
  • Competitive compensation
  • Recognition & appreciation
  • International exposure
  • Remote working model