“We Power the Magic!” That’s our motto at Disney Experiences (DX). Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, a Disney Resort & Spa, and Disney Vacation Club.  

We are responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation and Merchandise lines of business as well as other initiatives including MyDisneyExperience and Hey, Disney! 

This role sits in the Infrastructure Delivery organization within Technology for Disney Experiences. It works closely with B2B developers, technical team members, and product owners from across the DX organization.   

About The Role & Team: 

The role is a key member of the Data Analytics and Insights Quality Assurance delivery team and works closely with B2B peer teams across the organization. The Quality Assurance team operates in a highly collaborative environment.  On a daily basis, this role is responsible for reviewing requirements and technical changes, developing and maintaining test plans and automated scripts, executing both manual and automated tests, and analyzing results to identify defects and potential risks. 

What You'll Do:  

• Design, develop, maintain, and execute comprehensive test plans, test cases, and test scripts for software applications and system integrations. 

• Create and enhance automated test frameworks and scripts to improve test coverage, repeatability, and efficiency. 

• Perform functional, regression, integration, system, and performance-related testing to validate software quality. 

• Analyze test outcomes, identify defects, document findings clearly, and work with development teams to support timely root cause analysis and resolution. 

• Establish, review, and refine quality assurance standards, procedures, and best practices. 

• Maintain accurate test documentation, defect logs, traceability records, and quality metrics to support reporting and continuous improvement. 

• Collaborate with software engineers, business analysts, product owners, and technical leads throughout the software development lifecycle. 

• Evaluate risks related to product quality, system functionality, and release readiness, and provide recommendations for corrective or preventive action. 

• Support technical assessments of tools, programming languages, frameworks, and systems as they relate to software quality and testing effectiveness. 

• Help ensure reliable integration of software into broader technical environments, including scientific computation, data acquisition, and processing workflows where applicable. 

Required Qualifications: 

• Minimum 5 years of related work experience in software quality assurance, software testing, or quality engineering roles. 

• Comfortable working in an agile environment 

• Demonstrated experience developing and executing manual and automated test strategies for complex software systems. 

• Strong knowledge of software development lifecycle methodologies, quality assurance processes, and defect management practices. 

• Experience with test automation tools, test management platforms, defect tracking systems, and version control tools. 

• Ability to analyze technical requirements and translate them into effective test coverage and validation strategies. 

• Strong written and verbal communication skills, with the ability to clearly document defects, risks, and test results. 

• Proven ability to collaborate effectively with cross-functional technical teams and manage multiple priorities in a structured environment. 

Preferred Qualifications: 

• Experience with CI/CD pipelines and integrating automated tests into build and release workflows. 

• Familiarity with API testing, database validation, and performance or load testing tools. 

• Experience working in Agile, Scrum, or other iterative software development environments. 

• Knowledge of regulated, high-availability, or data-intensive software environments. 

• Exposure to scientific, engineering, or computation-focused systems is a plus. 

Required Education: 

• Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience