Sr. Associate QA Engineer

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 Compile’s 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. Compile’s 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.

Quality Engineering Ownership & Execution

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  Execute test plans and test cases for assigned features and product modules.

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  Participate in requirement reviews and contribute to test scenario identification.

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  Identify and document defects with clear reproduction steps and supporting evidence.

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  Perform functional, integration, regression, and exploratory testing.

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  Support release validation activities across multiple environments.

• Develop and maintain automated test scripts for UI, API, and service-layer testing.

• Contribute to existing automation frameworks using tools such as Selenium, Playwright, TOSCA, or equivalent technologies.

• Develop and execute API automation tests using tools such as Postman, RestAssured, or similar frameworks.

• Support integration of automation suites into CI/CD pipelines.

• Utilize AI-assisted development tools such as GitHub Copilot or similar tools to improve productivity and test coverage.

• Assist in validating AI-enabled and GenAI-powered product features.

• Participate in testing prompt-based workflows and AI-generated responses.

• Support validation activities focused on response accuracy, consistency, and reliability.

• Execute predefined test scenarios covering prompt variations and edge cases.

• Develop familiarity with concepts such as LLMs, prompts, RAG, AI agents, and guardrails.

• Utilize AI-powered tools to assist with test scenario generation and exploratory testing.

• Perform backend testing using SQL and/or NoSQL data systems.

• Validate data ingestion, transformations, persistence, and integrity across services and environments.

• Assist with testing asynchronous workflows and integrations (e.g., message queues, APIs, batch processes).
   

• Collaborate with developers, business analysts, and product owners throughout the development lifecycle.

• Participate in Agile ceremonies including sprint planning, grooming, reviews, and retrospectives.

• Support shift-left testing practices by engaging early in feature development.

• Contribute audit‑ready documentation, including test plans, execution evidence, and reports.

• Participate in root‑cause discussions for quality issues and contribute to corrective actions.

• Identify opportunities for improving QA processes, tools, and documentation; contribute suggestions through established continuous improvement channels.

• Research and evaluate new QA, automation, or performance testing, AI assisted tools and techniques as appropriate.

Degree or equivalent and typically requires 2+ years of relevant experience.

Bachelor’s degree in computer science, Engineering, Mathematics, or equivalent practical experience.

• Exposure to AI/GenAI testing concepts.

• Experience testing LLM-powered or AI-enabled applications.

• Understanding of prompt engineering and prompt validation.

• Familiarity with RAG architectures and AI evaluation techniques.

• Knowledge of healthcare technology or regulated environments.

• Experience with cloud platforms such as Azure, AWS, or GCP.

Working Conditions

• Full-time in office role based in Bangalore, India (IST).

• Collaboration with distributed, cross‑functional teams.

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson’s (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In 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: careers.mckesson.com.