Principal Application Software Engineer - Testing

Oracle Oracle · Enterprise · United States

Software Development Engineer in Test (SDET) for Oracle Health Gen2 Patient Portal System Testing Team, focusing on improving product quality through system test strategy, web/mobile test automation, API validation, CI/CD integration, and tooling development. The role involves leveraging AI for test automation and contributing to testing strategies for AI-enabled features.

What you'd actually do

  1. Design, develop, and maintain automated tests for web, mobile, and API workflows.
  2. Work closely with development, product, and UX teams to define quality criteria.
  3. Validate end-to-end Patient Portal experiences across browsers, devices, iOS, and Android.
  4. Create and execute functional, regression, integration, system, and release-readiness tests.
  5. Develop AI skills and other tooling required for the testing.

Skills

Required

  • 7+ years of experience in frontend and backend application development with a strong focus on software quality and test automation.
  • Experience leveraging AI to build, maintain, and execute automated test suites.
  • Proven experience designing and implementing scalable test automation frameworks using Selenium, Playwright, Cypress, Jest, Mocha, Chai, or equivalent technologies.
  • Deep expertise in system-level validation, including End-to-End (E2E), Zero Downtime Deployment (ZDT), upgrade, integration, regression, and compatibility testing.
  • Experience defining and driving performance, scalability, resiliency, and reliability testing strategies using industry-standard tools.
  • Strong experience building and testing applications in cloud-native environments, with a solid understanding of Kubernetes, Docker, microservices, and distributed systems.
  • Strong understanding of CI/CD pipelines, release automation, and quality gates, with experience integrating automated testing into deployment workflows.
  • Strong programming skills in Java, Python, JavaScript, or TypeScript with the ability to build reusable automation libraries and testing utilities.
  • Experience testing and developing backend services using REST APIs and/or GraphQL.
  • Proficiency with distributed version control systems such as Git and modern development workflows.
  • Experience working with container orchestration platforms such as Docker and Kubernetes.

Nice to have

  • Experience with observability, logging, and monitoring tools to support production quality validation is desirable.
  • Healthcare/EHR domain knowledge is highly desirable.

What the JD emphasized

  • scalable test automation frameworks
  • system-level validation
  • performance, scalability, resiliency, and reliability testing strategies
  • cloud-native environments
  • CI/CD pipelines
  • AI to build, maintain, and execute automated test suites
  • testing strategies for AI-enabled features

Other signals

  • AI to build, maintain, and execute automated test suites
  • testing strategies for AI-enabled features