Software QA Automation Engineer

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 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.

Ontada is a leading oncology real‑world 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 Software QA Automation Engineer is an experienced individual contributor responsible for designing, developing, and maintaining automated test solutions across Ontada’s 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 suppo…