Senior QA Engineer
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Job Summary
About McKesson Compile
Established in 1833 McKesson is a US Fortune 10 global leader in healthcare supply chain management solutions retail pharmacy healthcare technology community oncology and specialty care. We partner with life sciences companies manufacturers providers pharmacies governments and other healthcare organizations to help provide the right medicines medical products and healthcare services to the right patients at the right time safely and cost effectively.
Based in Bangalore India McKesson Compiles data is a comprehensive full linked system of record for the US Healthcare market with intelligence on 2M healthcare professionals (HCPs) and over 800K facilities. Compiles data includes high capture medical and pharmacy claims closed capture Medicare claims (100%) along with best-in-class provider affiliations and customer master.
At McKesson we deliver careers with purpose and potential. Our focus on better health starts with creating an inclusive environment with strong values where you can build a fulfilling career. You can count on us to provide you with resources and opportunities to grow and be your best while contributing to our pursuit of improving lives.
Ontada is a leading oncology realworld data and evidence clinical education and provider technology business dedicated to transforming the fight against cancer. Part of McKesson Corporation we support science through our data technology and channels accelerating innovation for life science companies empowering community oncology providers and advancing patient care. Together with our partners we improve the lives of cancer patients.
Position Summary
The Senior QA Automation Engineer is an experienced individual contributor responsible for designing developing and maintaining automated test solutions across Ontadas product ecosystem including AI-enabled and GenAI-powered applications. Reporting to the QA Manager this role contributes to the quality reliability and scalability of web applications APIs backend services and AI-driven workflows through effective quality engineering practices and automation.
This role partners closely with Product Engineering and Operations teams to validate traditional software capabilities as well as emerging AI-enabled features including prompt-driven workflows Retrieval-Augmented Generation (RAG) solutions and model-integrated services.
Key Responsibilities
Quality Engineering Ownership & Execution
Own test planning and execution for assigned features modules and services.
Identify functional integration performance and quality risks and escalate concerns proactively.
Create and maintain test plans test cases and traceability documentation aligned with product requirements.
Execute exploratory testing to uncover complex workflows and edge-case defects.
Support release validation activities and ensure quality readiness for production deployments.
Participate in root-cause investigation and defect triage activities.
Test Automation & Framework Development
Contribute to automation framework enhancements to improve scalability maintainability and test coverage.
Develop reusable test utilities and automation components.
Support code reviews and automation best practices within the QA team.
AI / GenAI Quality Engineering
Design and execute test scenarios for AI-enabled and GenAI-powered applications.
Validate prompt behavior prompt templates and AI-assisted workflows across multiple test scenarios.
Perform testing for AI-related failure modes including hallucinations prompt injection attempts response inconsistencies and unsafe outputs.
Validate AI-generated responses for relevance accuracy consistency and reliability.
Participate in testing Retrieval-Augmented Generation (RAG) implementations including retrieval quality and response grounding.
Collaborate with engineering teams to verify model configurations integrations and inference workflows.
Utilize AI-powered tools to improve test design test automation development and exploratory testing.
Backend & Data Testing
Perform backend testing using SQL and NoSQL databases.
Validate data ingestion transformation persistence and integrity across systems.
Test API integrations messaging workflows and asynchronous processing pipelines.
Investigate data-related production defects and support root-cause analysis.
Agile Collaboration
Collaborate with developers early in the development lifecycle to improve testability and automation coverage.
Provide QA estimates and testing input during sprint planning and backlog refinement.
Guide junior team members on automation best practices when required.
Quality Governance Compliance & Continuous Improvement
Ensure testing activities comply with healthcare security privacy and regulatory requirements.
Maintain audit-ready documentation including test evidence and validation reports.
Contribute to continuous improvement initiatives across QA processes tooling and automation practices.
Minimum Requirement
Degree or equivalent and typically requires 4 years of relevant experience.
Education
Bachelors degree in computer science Engineering Mathematics or equivalent practical experience.
Critical Skills
4 years of Software Quality Assurance experience.
3 years of hands-on automation development experience.
3 years of API testing and automation experience.
3 years of backend and database testing experience using SQL.
Strong hands-on experience with Selenium Playwright Cypress TOSCA or comparable automation tools.
Proficiency in Java Python or JavaScript.
Experience working within Agile development environments.
Experience with CI/CD pipelines and tools such as Jenkins GitHub Actions or GitLab CI.
Understanding of microservices-based architectures and API-driven systems.
Experience using source control systems such as GitHub or Bitbucket.
Solid understanding of software testing methodologies automation frameworks and quality engineering best practices.
Exposure to AI-assisted engineering tools such as GitHub Copilot Claude Code or similar.
Additional Skills
Experience testing AI-enabled GenAI or LLM-powered applications.
Exposure to prompt testing and AI workflow validation.
Familiarity with RAG concepts and semantic search.
Experience with SQL and NoSQL databases.
Knowledge of cloud platforms such as Azure AWS or GCP.
Experience using performance testing tools such as JMeter NeoLoad or similar.
Knowledge of healthcare or regulated industry environments.
Working Conditions
Full-time in office role based in Bangalore India (IST).
Collaboration with distributed crossfunctional teams.
McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKessons (or affiliated entities like CoverMyMeds or RxCrossroads) name in fraudulent emails job postings or social media light of these scams please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.
McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.
McKesson job postings are posted on our career site: .
Required Experience:
Senior IC
About Company
McKesson is the leading healthcare company for wholesale medical supplies & equipment, pharmaceutical distribution, and healthcare technology solutions. McKesson is the central nervous system of health care. At any given moment, in any given minute, we simultaneously execute thousands ... View more
