Job Category: Product Development
: About the Role
We are seeking a highly skilled and innovative Principal Automation Engineer with deep expertise in modern automation frameworks and hands-on experience leveraging AI agents for intelligent test automation. This role will drive the end-to-end quality engineering strategy, build scalable automation solutions, and champion engineering excellence across product teams. The ideal candidate is a strong technical leader with a passion for delivering high-quality software and improving release velocity through automation and AI-driven testing.
Key Responsibilities
Define and lead the frontend automation strategy aligned with product and platform goals.
Design and develop scalable automation frameworks for UI, API, accessibility, visual regression and performance testing.
Integrate automation into CI/CD pipelines, establishing early quality gates and enabling shift-left adoption.
Introduce and operationalize AI-augmented testing and autonomous test agents to expand coverage and reduce cycle time.
Implement AI-driven techniques for test generation, self-healing, prioritization, and defect prediction.
Drive continuous improvement of automation maturity and quality metrics across teams.
Collaborate closely with engineering, product, UX, DevOps and release teams ensuring seamless delivery.
Mentor automation engineers and influence engineering leadership through best practices and technical standards.
Own large and complex functional areas independently from design through production validation.
Build dashboards and analytics to enable data-driven quality decisions. Required Skills & Experience
10-15 years of experience in Quality Engineering / Test Automation, with strong focus on frontend platforms.
Strong coding proficiency in JavaScript / TypeScript and modern UI frameworks (React / Angular / Vue).
Expertise in test automation tools: Playwright with TypeScript, Selenium, WebdriverIO, Jest/Mocha.
Experience integrating automation into CI/CD pipelines (Jenkins, GitHub Actions, Azure DevOps, GitLab CI).
Hands-on experience with AI agent automation tools (e.g., TestGPT, Selenium Agent, Devin, autonomous LLM-based frameworks) for test creation & execution.
Working knowledge of containerized and cloud-based execution (Docker, Kubernetes, cloud test grids).
Strong debugging, problem solving, analytical thinking and system architecture understanding.
Excellent communication skills, stakeholder collaboration & ability to influence engineering direction. Preferred Qualifications
Experience with performance, reliability, visual and accessibility testing.
Proven record building automation for large-scale distributed systems or SaaS products.
Contributions to engineering communities, publications, open-source or thought leadership.
Passion for innovation, engineering craftsmanship and continuous improvement culture. What We Offer
Opportunity to drive quality transformation and AI-enabled testing at enterprise scale.
A collaborative, inclusive and high-performance engineering culture.
Professional growth, innovation freedom and leadership visibility.
Competitive compensation and benefits package.
Responsibilities: Key Responsibilities
Define and lead the frontend automation strategy aligned with product and platform goals.
Design and develop scalable automation frameworks for UI, API, accessibility, visual regression and performance testing.
Integrate automation into CI/CD pipelines, establishing early quality gates and enabling shift-left adoption.
Introduce and operationalize AI-augmented testing and autonomous test agents to expand coverage and reduce cycle time.
Implement AI-driven techniques for test generation, self-healing, prioritization, and defect prediction.
Drive continuous improvement of automation maturity and quality metrics across teams.
Collaborate closely with engineering, product, UX, DevOps and release teams ensuring seamless delivery.
Mentor automation engineers and influence engineering leadership through best practices and technical standards.
Own large and complex functional areas independently from design through production validation.
Build dashboards and analytics to enable data-driven quality decisions.
Qualifications:
Career Level - IC4
About Us:
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling +1 888 404 2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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