Senior Software Development in Test Engineer

On any given day at Disney Entertainment & ESPN Technology, we’re reimagining ways to create magical viewing experiences for the world’s most beloved stories while also transforming Disney’s media business for the future. Whether that’s evolving our streaming and digital products in new and immersive ways, powering worldwide advertising and distribution to maximize flexibility and efficiency, or delivering Disney’s unmatched entertainment and sports content, every day is a moment to make a difference to partners and to hundreds of millions of people around the world.

A few reasons why we think you’d love working here:

• Building the future of Disney’s Streaming, Sports, and Entertainment business: DE&E Technologists are designing and building the backend systems, API’s and mobile applications that will power Disney’s media, advertising, and distribution businesses.
• Reach and Scale: The products and platforms this group builds and operates delight millions of consumers every minute of every day – from Disney+ and Hulu, to ABC News and Entertainment, to ESPN and ESPN+, and much more.
• Innovation: We develop and execute groundbreaking products and techniques that shape industry norms and enhance how audiences experience sports, entertainment & news.

Job Overview:

The team is seeking a Sr. Software Development in Test Engineer to join our Engineering Services team. This role involves building test automation and processes to ensure the quality of our advertising systems. Properly functioning systems reliably deliver relevant ads to our viewers, driving higher revenue and helping customers discover relevant brands and products. Defects in our ad systems can negatively impact revenue and viewer experience due to irrelevance and repetition. This is a unique opportunity to impact the QE and automation process and culture, as well as the products we release. The ideal candidate will also have expertise in data validation, ensuring the integrity and accuracy of data used in system testing and automation, along with solid experience in data analytics, data engineering, data modeling, data warehousing, and big data platforms.

Key Responsibilities:

• Work closely with Software Engineers to understand the complex advertising ecosystem.
• Develop automated test frameworks and suites for API, UI, Integration, and data validation levels using Python or other OO languages.
• Participate in design discussions to evolve the platform, enabling richer testing scenarios and simplifying defect detection and prevention.
• Assist with triage, diagnosis, and resolution of issues discovered across teams.
• Contribute to end-to-end acceptance tests.
• Develop and execute manual test cases when automated testing is not feasible.
• Leverage experience in data analytics, data engineering, data modeling, and data warehousing to enhance testing strategies and improve data quality throughout the development lifecycle.
• Work with big data platforms to validate large-scale data sets, ensuring they meet the testing and business requirements.
• Drive the conversion of manual tests to automated tests whenever possible.

Additional Responsibilities:

• Monitor and validate data used in test scenarios to ensure it accurately represents real-world conditions.
• Work collaboratively with data engineers and other stakeholders to develop processes for improving data quality and ensuring its consistency across testing environments.
• Implement test automation for data validation to increase the efficiency and reliability of testing processes.

Qualifications:

• Education: Bachelor’s or Master’s in Computer Science, Software Engineering, or related field.
• Experience: 5+ years of related experience
• Technical Skills: Proficient in Python or similar object-oriented languages, automation tools (e.g., Selenium, JUnit), data engineering, SQL, and big data technologies (e.g., Spark, Hadoop).
• Testing Experience: Proven experience in automated testing (API, UI, integration, data validation), ETL/data accuracy validation, and end-to-end acceptance testing.
• Problem-Solving: Strong diagnostic skills for data processing and system integration issues; familiarity with CI/CD tools.
• Collaboration: Excellent cross-team collaboration, communication, and documentation skills.
• Preferred: Experience with AWS or cloud platforms, Agile methodologies, machine learning, and data privacy best practices.