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 Stellus Rx will be a key member of our Technology Team, working closely with Stellus Rx 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 behav