Senior QA Automation Architect

Overview

In this role you design and evolve QA automation for Roku’s audio experiences, expanding from AV-sync to broader audio quality coverage across TVs, soundbars, and headphones. You’ll partner with engineering leadership to architect an AI-enhanced automation ecosystem, aiming to predict failures and improve regression prevention. You will implement measurement methodologies that go beyond pass/fail, driving production reliability. This is a hands-on, transformation-driven role where your AI and embedded systems expertise will shape how Roku tests and delivers audio quality at scale.

Pay / Benefits

• mental health resources
• financial wellness support
• healthcare options
• retirement options (401(k)/pension)
• paid time off and leave policies
• accommodations as needed

Responsibilities

• Design and implement test analysis systems to identify quality gaps and predict failure patterns
• Build data-driven mechanisms to collect, analyze, and act on testing information for continuous quality improvements
• Leverage AI-powered tools to enable test automation, failure analysis, and root cause identification
• Develop new methodologies to measure and raise test quality beyond pass/fail, focusing on regression prevention and production reliability
• Define architectural patterns that improve testing effectiveness and alignment with business impact
• Drive systematic regression tracking and prevent recurrence of issues
• Collaborate with cross-functional teams to align quality initiatives with broader engineering goals
• Mentor engineers on test architecture, automation design, and AI-assisted quality assurance

Key requirements

• Expertise in test architecture and automation systems design
• Python programming proficiency with multi-language experience
• Experience automating embedded systems in the loop
• Proven track record in test transformation reducing production issues
• Ability to design and optimize AI-driven quality assurance solutions
• Knowledge of CI tools (Jenkins, GitLab, TeamCity, AWS) and quality gate optimization
• Experience with test flakiness analysis, failure pattern recognition, and automated root cause identification
• Strong communication skills and ability to influence senior leadership
• Experience mentoring engineers and leading testing practice changes
• Project QA or development lead experience
• Certifications or training in AI/ML or AI-driven testing approaches

• cross-functional collaboration
• communication
• mentoring
• Python
• embedded systems automation
• AI-powered QA

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