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About the Role

The Software Automation Engineer (P3) is a senior individual contributor responsible for designing, developing, and maintaining automated test solutions across Ontada’s product ecosystem, with a strong focus on AI‑enabled and GenAI‑powered systems. This role drives high‑quality 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 AI‑driven behaviors.

Responsibilities

Own and execute test strategy, planning, and execution for assigned features, services, or product areas.
Identify functional, integration, and non‑functional quality risks early and 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, edge‑case, and systemic defects.
Coordinate end‑to‑end validation across multiple environments to ensure release readiness.
Design, develop, and maintain automated test suites across UI, API, service, and data layers.
Contribute to the enhancement and maintainability of automation frameworks.
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 AI‑assisted development tools to accelerate test automation development, refactoring, and debugging.
Use AI tooling to assist with test case generation, edge‑case identification, and data‑driven scenario expansion.
Design and execute test strategies for AI/ML and GenAI‑powered features, including LLM‑based 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 Retrieval‑Augmented Generation (RAG) pipelines, including embedding quality validation, retrieval accuracy, recall, relevance, and chunking/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 AI‑powered tools to support prompt analysis, test scenario exploration, and hypothesis generation.
Critically evaluate AI‑generated suggestions and outputs to ensure accuracy, safety, reproducibility, and regulatory compliance.
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.
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 shift‑left 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.
Ensure testing activities align with HIPAA and other regulatory, security, and data‑privacy requirements.
Contribute audit‑ready documentation, including test plans, execution evidence, and reports.
Participate in root‑cause analysis for quality or performance issues and support corrective actions.
Identify opportunities for improving QA processes, tools, and documentation.
Research and evaluate new QA, automation, or performance testing, AI assisted tools and techniques.

Requirements

4+ years of progressive Software Quality Assurance experience, preferably in healthcare or regulated industries.
3+ years of hands‑on 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 AI‑adjacent quality frameworks.
Experience owning QA execution for complex product areas with limited day‑to‑day oversight.
Experience mentoring or supporting junior QA engineers.
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.
Hands‑on 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.
Hands‑on experience using AI‑assisted coding and analysis tools such as GitHub Copilot, Claude Code, or similar.
Ability to apply AI tools effectively for test automation development, refactoring, debugging, root‑cause investigation, exploratory test design, and edge‑case discovery.
Strong understanding of limitations and risks of AI‑generated outputs, with the ability to validate, correct, and harden results for production‑quality 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 fast‑paced environment.
Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future.

Skills

Selenium
Playwright
Cypress
TOSCA
RestAssured
Postman
GitHub Copilot
Claude Code
JMeter
NeoLoad
Dynatrace
New Relic
AppDynamics
Splunk
JProfiler
GitHub
Bitbucket
Git Bash
qTest
TestRail
ALM
TestLink
Java
JavaScript
Python
Jenkins
GitHub Actions
GitLab CI
Maven
Gradle

Location

Fully remote within the Eastern or Central United States
Remote
Las Colinas (Hybrid)

Work Type

Fully remote
Hybrid
Remote
On-site

Experience Level

Senior
4+ years of relevant experience
4+ years of progressive Software Quality Assurance experience
3+ years of hands‑on test automation development experience
2+ years of API testing and automation experience
3+ years of backend testing experience
3+ years of software performance testing experience
1+ years of experience testing AI/ML or GenAI systems
Experience owning QA execution for complex product areas with limited day‑to‑day oversight
Experience mentoring or supporting junior QA engineers

Education Level

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

Salary/Compensations

$106,100 - $176,800

Benefits

Competitive compensation package
Annual bonus opportunities
Long-term incentive opportunities

About the Company

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.
We focus on the health, happiness, and well-being of you and those we serve – we care.
What you do at McKesson matters.
We foster a culture where you can grow, make an impact, and are empowered to bring new ideas.
Together, we thrive as we shape the future of health for patients, our communities, and our people.

Equal Opportunity

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.
McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities.
If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca.