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Position Summary
The Software Automation Engineer (P3) is a senior individual contributor responsible for designing developing and maintaining automated test solutions across Ontadas product ecosystem with a strong focus on AIenabled and GenAIpowered systems. Reporting to the QA Lead this role drives highquality automation for UI API backend and data layers while ensuring AI/ML features meet expectations for correctness reliability safety and compliance.
This role partners closely with Product Engineering and MLOps teams to validate both traditional software workflows and AIdriven behaviors including promptbased systems retrievalaugmented generation (RAG) and modelintegrated services.
Key Responsibilities
Quality Engineering Ownership & Execution
Own and execute test strategy planning and execution for assigned features services or product areas under the guidance of the QA Lead.
Identify functional integration and nonfunctional quality risks early; communicate risks impacts and recommendations clearly.
Author comprehensive test strategies test plans and test cases aligned with product requirements and acceptance criteria.
Perform exploratory testing to uncover complex edgecase and systemic defects.
Coordinate endtoend validation across multiple environments to ensure release readiness.
Test Automation & Framework Development
Design develop and maintain automated test suites across UI API service and data layers.
Contribute to the enhancement and maintainability of automation frameworks using tools such as Selenium Playwright Cypress TOSCA or similar.
Develop robust API automation using RestAssured Postman or equivalent frameworks.
Implement effective test data strategies including synthetic data generation and environment setup.
Integrate automated tests into CI/CD pipelines to support fast and reliable feedback cycles.
Leverage AIassisted development tools (e.g. GitHub Copilot Claude Code or similar) to accelerate test automation development refactoring and debugging while maintaining code quality and security standards.
Use AI tooling to assist with test case generation edgecase identification and datadriven scenario expansion validating all outputs through engineering judgment and established QA practices.
AI / GenAI Quality Engineering
Design and execute test strategies for AI/ML and GenAIpowered features including LLMbased workflows.
Validate prompt behavior prompt templates and prompt chaining across different scenarios and data contexts.
Perform negative testing for AI systems including prompt injection jailbreak attempts hallucination risks and unsafe outputs.
Test RetrievalAugmented Generation (RAG) pipelines including:
Embedding quality validation
Retrieval accuracy recall and relevance
Chunking and indexing strategies
Validate AI outputs for accuracy consistency explainability and compliance in regulated environments.
Collaborate with Engineering and MLOps teams to test model integrations configuration changes and inference pipelines.
Utilize AIpowered tools to support prompt analysis test scenario exploration and hypothesis generation when validating LLMbased features and AI workflows.
Critically evaluate AIgenerated suggestions and outputs to ensure accuracy safety reproducibility and regulatory compliance.
Backend & Data Testing
Perform advanced backend testing across SQL and NoSQL data systems.
Validate data ingestion transformations persistence and integrity across services and environments.
Coordinate testing of asynchronous workflows and integrations (e.g. message queues APIs batch processes).
Agile Collaboration
Work closely with Product Owners and Business Analysts to refine user stories define acceptance criteria and ensure testability.
Partner with developers during design and implementation to support shiftleft testing.
Participate actively in sprint planning grooming retrospectives and release readiness reviews.
Collaborate with onshore and offshore QA team members to ensure consistent execution and quality standards.
Quality Governance Compliance & Continuous Improvement
Ensure testing activities align with HIPAA and other regulatory security and dataprivacy requirements.
Contribute auditready documentation including test plans execution evidence and reports.
Participate in rootcause analysis for quality or performance issues and support 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.
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 progressive Software Quality Assurance experience preferably in healthcare or regulated industries.
3 years of handson test automation development experience.
2 years of API testing and automation experience.
3 years of backend testing experience using SQL and/or NoSQL databases.
3 years of software performance testing experience including test planning execution and analysis.
1 years of experience testing AI/ML or GenAI systems or demonstrated delivery of AIadjacent quality frameworks (e.g. prompt testing RAG evaluation guardrails).
Experience owning QA execution for complex product areas with limited daytoday oversight.
Experience mentoring or supporting junior QA engineers.
Additional Skills
Strong experience working in Agile SDLC environments with CI/CD pipelines.
Proficiency in Java JavaScript or Python for test automation and scripting.
Experience with CI/CD tools such as Jenkins GitHub Actions GitLab CI and build tools like Maven or Gradle.
Solid understanding of QA methodologies test design techniques and quality metrics.
Handson experience with performance testing tools (JMeter NeoLoad or similar).
Experience using profiling and monitoring tools (Dynatrace New Relic AppDynamics Splunk JProfiler).
Ability to analyze performance issues related to CPU memory/heap garbage collection threads databases messaging systems and network latency.
Experience creating reusable maintainable and portable automation and performance test scripts.
RAG testing experience including embedding quality retrieval evaluation and chunk strategy validation.
Familiarity with vector databases and semantic search concepts.
Handson experience using AIassisted coding and analysis tools such as GitHub Copilot Claude Code or similar.
Ability to apply AI tools effectively for:
Test automation development and refactoring
Debugging and rootcause investigation
Exploratory test design and edgecase discovery
Strong understanding of limitations and risks of AIgenerated outputs with the ability to validate correct and harden results for productionquality use.
Experience with source control tools such as GitHub Bitbucket Git Bash.
Experience with test management tools (qTest TestRail ALM TestLink or similar).
Familiarity with microservices and distributed system architectures.
Experience benchmarking capacity planning and release readiness reporting.
Knowledge of healthcare software data privacy and regulatory compliance is a plus.
Ability to manage multiple priorities and work independently in a fastpaced environment.
Working Conditions
Fully remote role within the Eastern or Central United States.
Collaboration with distributed crossfunctional teams.
Candidates must be authorized to work in USA. Sponsorship is not available for this role.
We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors including performance experience and skills equity regular job market evaluations and geographical markets. The pay range shown below is aligned with McKessons pay philosophy and pay will always be compliant with any applicable regulations. In addition to base pay other compensation such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson pleaseclick here.
Our Base Pay Range for this position
$105200 - $175300McKesson 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: .
McKesson is an Equal Opportunity Employer
McKesson provides equal employment opportunities to applicants and employees without regard to race color religion sex sexual orientation gender identity national origin protected veteran status disability age genetic information or any other legally protected category. For additional information on McKessons full Equal Employment Opportunity policies visit our Equal Employment Opportunity page.
McKesson welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation please contact us by sending an email to .
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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