Senior Manager Quality Engineering & Test Automation

The Walt Disney Company

Morrisville (NC)

On-site

USD 163,000 - 219,000

Full time

14 days+

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Job summary

The Walt Disney Company is seeking a Sr Mgr SDET to lead quality engineering across Disney Entertainment & ESPN platforms. You will shape the QE strategy, build scalable test automation, and partner with engineering, data science, and product leaders to deliver reliable, high-quality commerce, data, and advertising systems.

Ideal candidates bring 10+ years in QE, proven multi-team leadership, and hands-on automation with Python or OO languages, plus strong stakeholder management in a large,

Qualifications

  • 10+ years in software quality engineering or test automation.
  • 5+ years managing managers or leading multi-team organizations.
  • Experience scaling quality functions in cloud-native, high-scale environments.
  • Expertise in modern test automation frameworks, CI/CD, and trends in software quality.
  • Strong communication and mentoring skills; able to influence executives.

Responsibilities

  • Lead multiple quality engineering teams and assess talent at scale.
  • Define multi-year roadmaps for quality across advertising platforms and business goals.
  • Drive transformation with best-in-class practices, tools, and quality metrics.
  • Set technical direction for large-scale test automation and cloud-native solutions.
  • Partner with executives and cross-functional teams to ensure test automation is embedded early in development.

Skills

Test automation
Quality engineering leadership
CI/CD
Python
Cloud-native
IAM testing
Stakeholder management
Multi-team leadership
Mentoring

Education

B.S. in Computer Science

Job description

The Walt Disney Company is seeking a Sr Mgr SDET to lead quality engineering across Disney Entertainment & ESPN platforms. You will shape the QE strategy, build scalable test automation, and partner with engineering, data science, and product leaders to deliver reliable, high-quality commerce, data, and advertising systems.

Ideal candidates bring 10+ years in QE, proven multi-team leadership, and hands-on automation with Python or OO languages, plus strong stakeholder management in a large,

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