<p>Piper Companies is seeking a QA Automation Engineer leveraging AI to support a cloud-focused engineering organization. This role centers on building AI-enhanced automation frameworks, writing Java-based automated tests, and ensuring end-to-end quality across internal and external platforms. The engineer will work across Microsoft Azure, Amazon Web Services (AWS), and Google Cloud environments. The candidate will sit hybrid in Raleigh, NC.</p> <p>Responsibilities for the QA Automation Engineer:</p> <ul> <li>Develop and maintain automated test frameworks in Java, incorporating AI/ML capabilities to improve test efficiency and coverage. </li><li>Execute end-to-end, API, and regression automation across Azure, AWS, and Google Cloud platforms. </li><li>Collaborate with internal engineering teams and external partners to identify defects, validate fixes, and improve overall quality. </li><li>Integrate automation into CI/CD pipelines and enhance test reliability using AI-driven insights. </li></ul> <p>Qualifications for the QA Automation Engineer:</p> <ul> <li>3-5 years of experience in QA automation with strong proficiency in Java. </li><li>Hands-on experience with AI/ML tools or techniques within automation or quality engineering workflows. </li><li>Experience testing cloud-native applications across Azure, AWS, or Google Cloud. </li><li>Strong understanding of end-to-end testing, API automation, and CI/CD environments. </li></ul> <p>Compensation for the QA Automation Engineer:</p> <ul> <li>Competitive salary based on experience. </li><li>Comprehensive benefits including Medical, Dental, Vision, 401k, PTO, holidays, and sick leave as required by law. </li><li>Hybrid work schedule depending on organizational requirements. </li></ul> <p>This role becomes available for applicants on 2/27/2026, and the application window will remain open for at least 30 days from the listed posting date.</p> <p>Keywords: QA automation, automation engineering, Java automation, AI-driven testing, machine learning in QA, AI/ML automation frameworks, end-to-end testing, API automation, regression automation, cloud automation, Azure testing, AWS testing, Google Cloud testing, multi-cloud environments, cloud-native applications, CI/CD pipelines, automation integration, defect identification, quality validation, test coverage optimization, internal teams, external partners, distributed systems testing, mid-level QA engineer, Java framework development, test reliability, automation script development, AI-enhanced QA, hybrid work environment</p> <p>#LI-HL1</p> <p>#LI-HYBRID</p>