QA Engineer

• Analyze requirements, user stories, acceptance criteria, integration points, and healthcare workflow impacts to create risk-based test plans.
• Design, execute, and maintain functional, regression, integration, API, data validation, and exploratory test coverage for assigned features.
• Build and maintain automated tests using approved frameworks and contribute to stable CI/CD quality gates.
• Partner with product owners, engineers, business analysts, and operations stakeholders to clarify requirements and improve testability.
• Identify defects, assess severity and business impact, participate in root cause analysis, and verify fixes across environments.
• Use approved Gen AI tools to accelerate test-case generation, test-data ideation, exploratory charters, and documentation while applying human review.
• Support performance, security, accessibility, and compliance testing basics where relevant to healthcare systems.
• Contribute to continuous improvement in test processes, automation reliability, release confidence, and team knowledge sharing.

2-4 years of experience in quality engineering, software testing, test automation, or a comparable software delivery role.

• Proficiency with at least one automation framework such as Selenium, Playwright, Cypress, Appium, REST-assured, or equivalent.
• Working knowledge of API testing, SQL/database validation, version control, CI/CD pipelines, and Agile delivery practices.
• Ability to translate requirements and business rules into comprehensive test scenarios and measurable quality coverage.
• Experience collaborating with cross-functional teams and communicating quality risks clearly.
• Commitment to secure, compliant handling of test data and healthcare-related information.

Preferred Qualifications

• Experience with healthcare applications, claims, eligibility, care management, provider/member portals, data exchange, or reporting platforms.
• Exposure to cloud platforms, containerized environments, service virtualization, contract testing, or performance testing tools.
• Familiarity with AI-assisted test design, synthetic test data generation, or ML model validation concepts.

Healthcare, Privacy, and Compliance Expectations

• Work with a strong understanding of healthcare data sensitivity, including PHI/PII handling, privacy-by-design, and secure test-data practices.
• Follow applicable company policies and healthcare compliance expectations, including HIPAA-aligned privacy and security practices where applicable.
• Support quality controls for healthcare workflows such as eligibility, claims, clinical, member, provider, case management, reporting, and interoperability scenarios when relevant.
• Promote accessibility, auditability, traceability, and documentation suitable for regulated healthcare environments.

AI and Automation Expectations

• Use Gen AI to improve test coverage, create test ideas, support synthetic data design, summarize defects, and accelerate automation with responsible review and traceability.

Success Measures

• Reliable feature-level test coverage aligned to business and compliance risk.
• Improved automation stability, maintainability, and CI/CD execution quality.
• Timely detection and escalation of release risks.
• Effective collaboration with product, engineering, and business stakeholders.
• Contribution to test process improvement and AI-assisted productivity.