Senior Quality Engineer

Department

Description:

At Disney, we’re storytellers. We make the impossible, possible. The Walt Disney Company is a world-class entertainment and technological leader. Walt’s passion was to continuously envision new ways to move audiences around the world—a passion that remains our touchstone in an enterprise that stretches from theme parks, resorts and a cruise line to sports, news, movies and a variety of other businesses.

Uniting each endeavour is a commitment to creating and delivering unforgettable experiences — and we’re constantly looking for new ways to enhance these exciting experiences.

The Enterprise Technology mission is to deliver technology solutions that align to business strategies while enabling enterprise efficiency and promoting cross‑company collaborative innovation. Our group drives competitive advantage by enhancing our consumer experiences, enabling business growth, and advancing operational excellence.

The Quality Engineering Team is seeking a technically skilled and quality‑driven Senior Quality Engineer (QE) to join its Enterprise Technology team. This role is ideal for experienced engineers who thrive on validating complex, intelligent systems and ensuring the reliability of data‑driven applications at scale.

You will apply a software engineering mindset to architect, design, automate, and monitor testing frameworks that support adaptive algorithms and dynamic system behaviours. The role involves close collaboration with cross‑functional teams to embed quality throughout the development lifecycle, champion best practices, and drive continuous improvement across Disney’s digital platforms.

This is a hands‑on role with opportunities to lead strategic testing initiatives, mentor peers, and contribute to the delivery of high‑quality experiences that delight Disney audiences worldwide.

• Design and implement comprehensive test strategies for systems incorporating predictive or adaptive logic.
• Develop and maintain automated test frameworks and tools to support CI/CD pipelines.
• Collaborate with developers, product managers, and data specialists to embed quality from ideation through deployment.
• Conduct exploratory testing and risk analysis for complex, data‑intensive systems.
• Monitor and report on quality metrics, identifying trends and areas for improvement.
• Advocate for best practices in software quality engineering, including test‑driven development and shift‑left testing.
• Stay current with emerging technologies and testing approaches, especially those relevant to AI/ML systems.
• Provide technical direction and problem‑solving support across engineering teams.
• Plan and execute strategic continuous improvement initiatives.
• Consult with engineering, operations, and leadership to align quality goals with business objectives.

• Minimum 5+ years of hands‑on experience in software engineering or quality engineering.
• Proven experience in testing intelligent, data‑driven systems.
• Strong understanding of model validation, bias detection, and performance benchmarking.
• Proficiency in test automation tools and scripting languages (e.g., Python, JavaScript).
• Familiarity with AI testing tools and libraries (e.g., Tensor Flow Model Analysis, MLflow, PyTest).
• Experience with RESTful APIs, microservices, and cloud platforms (AWS, GCP, Azure).
• Proficiency with Git, Jira, Jenkins, Git Hub Actions, and other CI/CD tools.
• Ability to work independently and manage asynchronous workflows across distributed teams.

• Experience with risk management and mitigation strategies.
• Familiarity with Agile methodologies and SDLC best practices.
• Knowledge of test metrics, reporting, and continuous improvement frameworks.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent work experience.

The hiring range for this position in New York, NY and Seattle, WA is $123,000 - $165,000 and in Burbank, CA is $117,500 - $157,500 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job‑related knowledge, skills, and experience among other factors. A bonus and/or long‑term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.