QA Automation Engineer

Tubi is seeking a highly skilled and experienced QA Automation Engineer to lead quality assurance initiatives for our cutting-edge streaming and AI-driven product features. This pivotal role involves ensuring exceptional end-to-end user experiences, robust streaming playback, and the accuracy and integrity of our AI/ML features across web, mobile, and OTT platforms.

We’re looking for a candidate with a strong background in streaming QA and deep technical knowledge of media workflows. You’ll be instrumental in collaborating with engineering, product, and data science teams to define comprehensive QA strategies that guarantee both functional excellence and data-level quality.

This is a hybrid role based out of our Toronto office. You must be willing to travel to our Toronto office two days a week.

• Design and lead test strategies for streaming workflows, playback systems, and AI-powered features.
• Test across platforms (web, mobile, and connected TV) to ensure functional parity and playback stability.
• Validate streaming performance—including A  logic, encoding pipelines, and DRM integrations—under diverse real-world conditions.
• Debug with precision using tools like Charles Proxy, Chrome Dev Tools, ADB, and Xcode. Collaborate with data and ML teams to validate AI model updates, recommendations, and personalization accuracy.
• Leverage AI-assisted QA tools to enhance regression coverage, UI validation, and anomaly detection.
• Contribute to automation and CI/CD frameworks, driving faster, more reliable releases.
• Oversee QA deliverables for multiple concurrent releases and ensure seamless sign-off for production launches.
• Monitor live environments for playback or recommendation anomalies post-release and elevate issues promptly.
• Continuously improve QA processes, metrics, and reporting for streaming and AI validation.

• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent hands‑on experience.
• 4+ years of QA Automation experience in Mobile.
• Strong technical knowledge of video streaming protocols (HLS, DASH, MPEG‑TS), DRM systems, and CDN architectures.
• Experience validating AI/ML systems in production—testing model output accuracy, user personalization logic, and algorithm stability.
• Hands‑on experience with test automation tools (Selenium, Appium, Playwright, Puppeteer) and AI‑based visual testing.
• Proficiency in debugging tools and network analysis utilities (Charles Proxy, Chrome Dev Tools).
• Experience managing regression suites and release validation cycles across web, mobile, and connected TV platforms.
• Understanding of data validation, logging pipelines, and A/B testing frameworks.
• Strong analytical and documentation skills, with a proactive approach to cross‑team collaboration.

Toronto, Canada

Pay range: $75,700 - $108,000 CAD

Eligible for an annual discretionary bonus, long‑term incentive plan, and various benefits including medical/dental/vision, insurance, vacation/paid time off, and other benefits in accordance with applicable plan documents.

We are an equal‑opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, gender identity, disability, protected veteran status, or any other characteristic protected by law. We will consider for employment qualified applicants with criminal histories consistent with applicable law.