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 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 AI-powered testing platforms or AI-assisted test generation tools (e.g., Testim, Mabl, Diffblue, or similar).

• Experience with AI or ML-designed applications and testing non-deterministic outputs.

• Experience with public cloud environments (AWS, Azure, or GCP).

• Tricentis Tosca experience.

• Healthcare domain experience; familiarity with FHIR/HL7 a plus.

• Understanding of Web, Mobile, and database software development.

Originally posted on Himalayas