Software Automation Engineer

SoftwareAutomationEngineer(P3) -(AI Focused)

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 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.Reporting to the QA Lead, 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, including prompt based systems, retrieval augmented generation (RAG), and model integrated 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 non functional quality risks early; communicate risks, impacts, and recommendations clearly.

• Coordinate end to end 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.

• Integrate automated tests into CI/CD pipelines to support fast and reliable feedback cycles.

• LeverageAI assisted 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.

AI / GenAI Quality Engineering

• 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.

• Validate AI outputs for accuracy, consistency, explainability, and compliance in regulated environments.

• Critically evaluate AI generated suggestions and outputs to ensureaccuracy, safety, reproducibility, and regulatory compliance.

Agile Collaboration

• Work closely with Product Owners and Business Analysts to refine user stories, define acceptance criteria, and ensure testability.

• 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 withHIPAAand 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; contribute suggestions through established continuous improvement channels.

• Research and evaluate new QA, automation, or performance testing, AI assistedtools and techniques as appropriate.

Typical Minimum Requirements

Experience

• 5+ 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 software performance testing experience.

• 1+ yearsof experience testingAI/ML or GenAI systems, or demonstrated delivery of AI adjacent quality frameworks (e.g., prompt testing, RAG evaluation, guardrails).

• Experience mentoring or supporting junior QA engineers.

Education

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

Critical 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.

• 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, includingembedding quality, retrieval evaluation, and chunk strategy validation.

• Familiarity withvector databasesand semantic search concepts.

• Hands on experience usingAI assisted coding and analysis toolssuch asGitHub Copilot, Claude Code, or similar.

Additional Skills

• 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.

Working Conditions

• Fully remote role within theEastern or Central United States.

• Collaboration with distributed, cross functional teams.