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UST

Posted 13 Oct 2026

Lead I - Software Testing (E2E Test Lead)

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Employment
Full time
Posted
13 Oct 2026

About the role

E2E Test Lead Key Responsibilities Lead end-to-end testing across multiple applications, interfaces, and business domains. Define E2E test strategy, scope, coverage, entry/exit criteria, and release readiness plans. Coordinate SIT, E2E, Regression, and UAT activities across business, development, and QA teams. Manage test planning, test execution, defect triage, dependency tracking, and issue resolution. Ensure end-to-end traceability from requirements through test execution and production validation. Drive cross-functional coordination for test data, environments, integrations, and release validation. Monitor testing KPIs, quality metrics, defect leakage, and overall program readiness. Support knowledge transfer, transition activities, governance reviews, and stakeholder reporting. Present testing status, risks, mitigation plans, and go/no-go recommendations to leadership. Required Experience 10+ years in Quality Engineering and Testing, with 5+ years leading large-scale E2E testing programs. 5+ years of experience in Facets healthcare system Experience managing complex multi-application, multi-vendor testing engagements. Strong expertise in test planning, execution management, defect governance, and release validation. Experience with Healthcare Payer platforms and processes including Claims, Enrollment, Membership, Provider, Billing, Care Management, Prior Authorization, and EDI transactions. Experience working with distributed onshore/offshore teams and client stakeholders. Strong knowledge of Jira, qTest, Azure DevOps, and modern QE practices. Strong communication, stakeholder management, and leadership skills. Preferred Experience Healthcare payer managed services and transition programs. TCoE-led delivery models and governance frameworks. Automation-led testing and shift-left quality initiatives. Test Data Management and Environment Management exposure. CMS, regulatory, and compliance testing programs. Experience supporting AI-enabled Quality Engineering initiatives.

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