QA Automation Lead (Azure / AI)
Location: Remote USA
We are seeking an experienced QA Lead to lead the Quality Engineering strategy for a large-scale Azure-native Healthcare Platform Modernization Program. The individual will be responsible for defining the end-to-end testing architecture, automation strategy, quality governance framework, and release readiness across data platforms, APIs, microservices, portals, cloud infrastructure, and AI-assisted delivery streams.
The QA Architect will work closely with Enterprise Architects, Data Architects, Product Owners, Engineering Leads, and client stakeholders to ensure predictable, scalable, compliant, and audit-ready delivery.
Key Responsibilities
Quality Strategy & Governance
- Define and govern the overall QA and Quality Engineering strategy across the program.
- Establish test architecture, quality gates, entry/exit criteria, and release readiness standards.
- Own requirements traceability, test coverage metrics, defect governance, and quality dashboards.
- Drive shift-left testing practices and continuous quality monitoring.
- Ensure adherence to enterprise quality standards and governance frameworks.
Test Lead
Design and implement testing frameworks covering:
- Functional Testing
- API Testing
- Data Validation Testing
- Integration Testing
- End-to-End Testing
- Regression Testing
- Performance Testing
- Security Testing
- Accessibility Testing (WCAG)
Additional responsibilities include:
- Define automation architecture for UI, API, Data, and Cloud validation.
- Establish reusable testing assets and frameworks.
- Standardize test execution and reporting mechanisms.
Automation & AI-Enabled Quality Engineering
- Lead implementation of an automation-first testing strategy.
- Leverage AI-assisted testing accelerators and Quality Engineering tools.
- Establish automated quality gates within CI/CD pipelines.
- Drive intelligent test generation and risk-based testing.
- Implement predictive quality analytics and continuous feedback mechanisms.
Data & Analytics Validation
Define and govern validation approaches for:
- Large-scale data migration
- Data reconciliation
- Data quality controls
- EMPI / Member Matching Validation
- Batch Processing Verification
- Outcome Parity Testing
Additional responsibilities:
- Ensure end-to-end data lineage and auditability.
- Validate data integrity across source and target systems.
- Support regulatory and compliance validation requirements.
API & Integration Quality
- Define testing standards for REST APIs, FHIR APIs, and event-driven integrations.
- Govern contract testing, schema validation, backward compatibility, and API performance testing.
- Lead validation of external partner integrations and data exchange workflows.
- Establish API quality metrics and monitoring standards.
Performance & Security Testing
- Define performance engineering strategy including:
- Load Testing
- Stress Testing
- Endurance Testing
- Scalability Testing
- Establish security testing approaches aligned with HIPAA, HITRUST, and enterprise security standards.
- Partner with Security Architects to ensure Secure SDLC compliance.
- Ensure platform resiliency and non-functional requirement validation.
Leadership & Stakeholder Management
- Provide technical leadership to QA Leads, QA Engineers, Automation Engineers, and Data Testers.
- Participate in architecture reviews, design reviews, sprint ceremonies, and executive governance meetings.
- Present quality status, risks, mitigation plans, and release recommendations to client leadership.
- Mentor and guide quality engineering teams across multiple workstreams.
Required Qualifications
Experience
- 10+ years of experience in Quality Assurance and Quality Engineering.
- 5+ years of experience as a QA Lead or Enterprise Test Architect.
- Experience leading QA initiatives for large-scale Digital Transformation or Cloud Modernization programs.
- Healthcare Payer/Provider domain experience preferred.
Good to have skills: - Healthcare experience
