McKesson-posted 5 days ago
Full-time • Mid Level
Richmond, VA
5,001-10,000 employees

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Position Summary McKesson Corporation is seeking detail-oriented and technically proficient Quality Engineer with a strong background in test automation, continuous integration, API testing, performance validation, and AI-enhanced quality practices. With 4+ years of experience, the ideal candidate will play a key role in ensuring the reliability, scalability, and performance of our software products through intelligent and automated testing strategies.

  • Design, develop, and maintain automated test frameworks using tools such as Selenium, Playwright, or similar.
  • Integrate automated tests into CI/CD pipelines using platforms like Jenkins, GitLab CI, Azure DevOps, etc.
  • Develop and execute API tests using tools like Postman, REST Assured, or SoapUI.
  • Conduct performance and load testing using tools such as JMeter, Gatling, NeoLoad or LoadRunner.
  • Collaborate with development, DevOps, and product teams to ensure quality is embedded throughout the software lifecycle.
  • Leverage AI/ML tools to enhance test coverage, defect prediction, and intelligent automation.
  • Manage test cases, execution, and reporting using test management tools like Jira, TestRail, or Zephyr.
  • Analyze test results, identify root causes, and contribute to continuous improvement of testing processes.
  • Typically requires 4+ years of relevant experience.
  • Strong understanding of API testing, performance testing, and test automation frameworks.
  • Proficiency in programming languages such as Java, Python, or JavaScript.
  • Hands-on experience with CI/CD tools and DevOps practices.
  • Experience implementing AI/ML concepts and their application in quality engineering.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience in healthcare or supply chain domain.
  • Experience with containerization (Docker, Kubernetes).
  • Exposure to MLOps and AI model validation.
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