Sr. Quality Engineer
Listed on 2026-02-28
-
Software Development
DevOps, Software Testing, Software Engineer, Cloud Engineer - Software
About Mc Kesson
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.
Role OverviewAs a Senior Quality Engineer you will be a software engineer focused on quality, reliability, and testability. You will design and build automated testing frameworks, tools, and quality gates that enable our teams to deliver secure, scalable, and resilient services on a modern cloud‑native stack. This role sits within the Software Engineering job family and is distinct from QA Analyst or QA Technician roles: you will write code, integrate with CI/CD pipelines, and help define the quality engineering practices that support our platform.
Tech& Tooling Stack
- Application Stack (familiarity preferred): C#, .NET, Type Script, Graph
QL, Kafka, Postgre
SQL;
React and Mule Soft are a plus. - Quality & Automation: Playwright or similar UI test frameworks; API testing tools such as Postman, REST Assured, or Graph
QL‑specific tools; test management frameworks such as Tosca. - Dev Ops & Observability: CI/CD pipelines (e.g., Azure Dev Ops, Git Hub Actions), defect tracking and test management tools (e.g., Jira), observability platforms (e.g., Datadog, Splunk), and performance testing tools (e.g., Neo Load or similar).
- AI & Tooling: Experience using or interest in AI‑assisted testing, including test generation, risk‑based test selection, and defect triage, and a willingness to help teams adopt these tools effectively.
- Design, develop, and maintain automated test suites for web UIs, APIs (REST and Graph
QL), and backend services using modern test frameworks such as Playwright and REST Assured. - Build and evolve test automation frameworks and shared libraries that can be used across teams to ensure consistency, maintainability, and high test coverage.
- Integrate automated tests into CI/CD pipelines, defining and tuning quality gates that provide fast, reliable feedback to development teams.
- Collaborate with software engineers, architects, and product owners to define test strategies, acceptance criteria, and non‑functional requirements (e.g., performance, reliability, security).
- Use observability tools (e.g., Datadog, Splunk) and logs/metrics/traces to inform test scenarios, validate system behavior, and detect regressions.
- Contribute to performance and resilience testing (e.g., Neo Load or similar), helping teams understand and improve system behavior under load and failure scenarios.
- Leverage AI‑assisted testing tools to generate test cases, prioritize test execution, and analyze defects, while defining guardrails for responsible use.
- Partner with QA Analysts/Technicians (where present) to translate exploratory and manual test scenarios into maintainable automated tests.
- Coach P3 engineers and other team members on quality engineering practices, including unit testing, test design, and effective use of test tools.
Typically 6+ years of experience in software engineering or quality engineering roles, with a strong focus on test automation and frameworks.
- Proficiency in at least one modern programming language used in test automation (C#, Type Script/JavaScript, or similar), with the ability to write clean, maintainable test code.
- Hands‑on experience with UI and API test automation (e.g., Playwright, Cypress, REST Assured, Postman, or similar tools).
- Experience automating tests for services built with REST and Graph
QL APIs and working with JSON‑based payloads and schema validation. - Experience integrating automated tests into CI/CD pipelines and working with tools like Azure Dev Ops, Git Hub Actions, or similar.
- Familiarity with observability concepts (metrics, logs, traces) and how they inform test scenarios and validation.
- Experience with performance testing tools (e.g., Neo Load, JMeter, or similar) and interpreting performance test results.
- Experience with chaos testing or resilience testing practices.
- Experience working in environments with strong…
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