Remote Senior Software Automation Engineer – AI/GenAI Testing

Worky

Irving (VA)

On-site

USD 87,000 - 144,000

Full time

10 days ago
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Job summary

McKesson Ontada is seeking a Software Automation Engineer to design, develop, and maintain automated test solutions across UI, API, backend, and data layers, with a focus on AI-enabled systems. You will partner with Product, Engineering, and MLOps to validate AI-driven workflows, including RAG and model-integrated services.

The role requires strong QA ownership, proficiency in test automation across tools, and experience with HIPAA/compliance.

Qualifications

  • 2+ years of progressive Software Quality Assurance experience, preferably in healthcare or regulated industries.
  • 2+ years of hands-on test automation development experience.
  • 2+ years of API testing and automation experience.
  • 2+ years of backend testing experience using SQL and/or NoSQL databases.
  • 1+ years of experience testing AI/ML or GenAI systems or demonstrated delivery of AI-adjacent quality frameworks.

Responsibilities

  • Own and execute test strategy, planning, and execution for assigned features, services, or product areas under the guidance of the QA Lead.
  • Develop and maintain automated test suites across UI, API, service, and data layers.
  • Design AI/GenAI test strategies and validate prompts.
  • Coordinate end-to-end validation across environments to ensure release readiness.
  • Collaborate with Product, Engineering, and MLOps teams to validate AI-driven behaviors.

Skills

QA automation
API testing
Backend testing
Java
Python
JavaScript
SQL/NoSQL
AI/GenAI QA
GitHub Copilot
CI/CD

Education

Bachelor’s degree in CS/Engineering/Math

Tools

Selenium
Playwright
Cypress
TOSCA
RestAssured
Postman
Jenkins
GitHub Actions

Job description

McKesson Ontada is seeking a Software Automation Engineer to design, develop, and maintain automated test solutions across UI, API, backend, and data layers, with a focus on AI-enabled systems. You will partner with Product, Engineering, and MLOps to validate AI-driven workflows, including RAG and model-integrated services.

The role requires strong QA ownership, proficiency in test automation across tools, and experience with HIPAA/compliance.

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