Disney Entertainment & ESPN Technology - Santa Monica, CA

posted about 1 month ago

Full-time - Mid Level
Santa Monica, CA

About the position

The Sr. Software Development in Test Engineer will be part of the DEMD Technology team in Santa Monica, focusing on building test automation and processes to ensure the quality of advertising systems. This role is crucial for delivering relevant ads to viewers, thereby driving revenue and enhancing customer experience. The position offers a unique opportunity to influence the quality engineering and automation culture, as well as the products released by the team.

Responsibilities

  • Work closely with Software Engineers to understand the complex advertising ecosystem at DMED Technology.
  • 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.
  • 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.

Requirements

  • Bachelor's or Master's in Computer Science, Software Engineering, or related field.
  • 5+ years of related experience.
  • 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).
  • Proven experience in automated testing (API, UI, integration, data validation), ETL/data accuracy validation, and end-to-end acceptance testing.
  • Strong diagnostic skills for data processing and system integration issues; familiarity with CI/CD tools.
  • Excellent cross-team collaboration, communication, and documentation skills.

Nice-to-haves

  • Experience with AWS or cloud platforms.
  • Agile methodologies.
  • Machine learning.
  • Data privacy best practices.

Benefits

  • Medical benefits
  • Financial benefits
  • Bonus and/or long-term incentive units may be provided as part of the compensation package.
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