Senior Quality Assurance Automation Engineer

Job Summary We're opening eyes, hearts and minds to the impact that a pharmacy team can have in changing lives. Join our group of talented, committed team members-pharmacists, pharmacy care coordinators, technologists, product strategists and more-to create and expand the delivery of personalized health support that people didn't even know could be possible. The Senior QA Automation Engineer for Keystone AI will be a key member of our Technology Team, working closely with Keystone AI leaders and across the organization to unlock the health of millions of Americans. We are a culture that is unabashedly driven by purpose — making a difference to patients and team members while growing at an accelerated rate. This role is built for a QA engineer who uses AI as a core part of how they test — generating test cases intelligently, automating coverage analysis, and replacing manual quality activities with smarter, faster, AI-driven approaches across the full software delivery lifecycle. Role and Responsibilities: AI-Driven Test Design & Automation Use AI tools to generate, review, and optimize automated test cases — replacing manual test authoring wherever possible and dramatically expanding coverage without proportional increases in effort. Leverage AI-assisted analysis to understand code flow, component interactions, and edge cases, ensuring automation suites reflect real-world usage scenarios rather than just happy paths. Build and maintain automation test suites across Mobile, Desktop, and Web platforms using frameworks such as Selenium, Appium, Cypress, Robot Framework, or Tricentis Tosca — augmented by AI to accelerate framework setup and test scaffolding. Apply AI tools to identify gaps in existing test coverage, prioritize high-risk areas, and continuously improve the depth and reliability of automation suites. AI-Augmented Bug Detection & Reporting Use AI-powered analysis to investigate user problems, detect patterns in defect data, and surface systemic quality issues that manual review would miss. Create and manage bug reporting with AI-assisted summarization and root cause categorization — reducing manual documentation effort while improving defect report quality. Apply exploratory testing techniques enhanced by AI to uncover edge cases and unexpected behaviors beyond scripted test scenarios. CI/CD Integration & Quality Gatekeeping Integrate automated test suites into CI/CD pipelines; use AI tools to monitor test results, flag regressions, and recommend pipeline adjustments based on quality trends. Serve as a steward of final software release quality — using AI-generated quality dashboards and trend analysis to inform go/no-go decisions with data rather than intuition. Develop and maintain status reporting and informative dashboards on all testing activities, leveraging AI to automate report generation and surface meaningful insights. Collaboration & Agile Participation Participate in backlog refinement to help design test cases, checklists, and test plans — using AI to rapidly generate draft test scenarios from user stories and acceptance criteria. Work with deployment teams to resolve issues, contribute to product design, and improve the testability of functional and non-functional requirements. Manage technical communications across teams with a clear understanding of overall system behavior and quality standards. Research test tools, methodologies, and AI-driven QA trends; continuously evaluate and adopt emerging capabilities that improve team efficiency and product quality. API & Advanced Testing Apply advanced API testing skills using Postman or similar frameworks; use AI to generate and validate API test scenarios from specifications. Leverage BDD principles and AI-assisted scenario generation to align automated tests with business intent and customer outcomes. Conduct ad hoc and SQL-based testing as needed to validate data integrity and application behavior. Qualifications and Requirements: BS degree in Computer Science, Software Engineering, or related field. 6+ years of QA experience testing and automating Mobile and Web applications. 4+ years of Agile and DevOps experience. Required: Demonstrated, hands-on experience using AI tools to generate test cases, expand automation coverage, or accelerate QA workflows — with specific examples you can speak to. Expert-level knowledge in automated test design and Object-Oriented Design principles. Advanced knowledge of automation frameworks: Selenium, Appium, Cypress, Robot Framework, or Tricentis Tosca. Advanced knowledge of API testing; experience with Postman or similar tools. Advanced knowledge of CI/CD processes and pipeline integration. Strong knowledge of BDD principles and exploratory testing techniques. Proficiency in Python, Java, and/or JavaScript. Good knowledge of SQL and database testing. Excellent communication, troubleshooting, and self-organization skills. High English proficiency, written and verbal. Preferred Experience: Experience with