Full Description

About the Role As a QA Engineer at Xealth, you will provide comprehensive QA coverage across a multitude of product areas including: web and mobile applications, APIs, data pipelines, and AI outputs. In doing so, you will develop and execute test strategies, identify defects early in the development lifecycle, and work collaboratively with Product and Engineering teams to drive high-quality releases in a fast-paced healthcare environment. This role will also define acceptance criteria, maintain testing standards, and continuously contribute to, and improve, Xealth’s automation framework. Key Responsibilities Own end to end testing for assigned Xealth features from requirement analysis through release. Create, maintain, and execute feature-level test plans, including functional, regression, negative and edge-cases scenarios. Develop integrated test scripts and collaborate with the team to review and uphold testing standards while ensuring comprehensive coverage. Identify and manage dependencies across services, integrations, and end-to-end workflows. Review logs to ensure there are no errors on the Xealth side leading up to go live. Identify, create, regress, and track defects through resolution in Jira. Proactively identify testing or monitoring gaps and collaborate with the team to resolve them. Validate error handling, alerts, and safeguards to ensure system reliability. Demonstrate proficiency in using internal tools and complete tasks independently. Oversee and contribute to regression testing efforts and share them to continuously enhance automation coverage. Validate HL7, API, and FHIR message flows for clinical use cases where applicable. Post Implementation testing/monitoring. Perform post-implementation testing and monitoring to ensure released features function as intended and meet quality standards. Lead the investigation and resolution of production issues, ensuring timely mitigation and verification. Conduct a daily review of logs/metrics & alerts following go-live to confirm feature stability and identify anomalies. Communicate with the support team regarding any Production issues. Execute and monitor production regression tests for any alerts post implementation.

Preferred Skills

• Passion for improving healthcare outcomes through technology.
• 4+ years hands-on QA engineering or software testing experience.
• Experience utilizing AI tools to improve QA productivity.
• Experience building test plans and test cases for features testing.
• Working knowledge of HTML, CSS, and JavaScript for testing and troubleshooting web applications.
• Some familiarity with AWS tools is preferred.
• Strong analytical, troubleshooting, and problem-solving skills.
• Hands-on experience with testing browser-based web applications and RESTful APIs using Postman.
• Experience using QA tools including JIRA, TestRail, Confluence, and BrowserStack.