Senior QA Analyst

Tubi Tv; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading streaming service is seeking a Senior QA Analyst to lead quality assurance initiatives for cutting-edge streaming and AI-driven features. The ideal candidate will have a strong background in streaming QA, with expertise in streaming protocols and video workflows. This is a hybrid role based in Toronto, requiring some in-office presence to collaborate with engineering and product teams. Key responsibilities include designing test strategies and validating performance under diverse conditions. Competitive salary and opportunities for professional growth offered.

Benefits

Health insurance

Flexible work hours

Qualifications

• 4+ years of QA experience in streaming media or VOD/OTT platforms required.
• Hands-on experience with automated testing tools such as Selenium or Appium.
• Strong technical knowledge of video streaming protocols is essential.

Responsibilities

• Design and lead test strategies for streaming workflows.
• Validate streaming performance under real-world conditions.
• Contribute to automation and CI/CD frameworks.

Skills

Streaming QA

Technical knowledge of media workflows

Debugging tools proficiency

AI/ML experience

Education

Bachelor’s degree in Computer Science or related field

Tools

Selenium

Charles Proxy

Chrome DevTools

Jenkins

Job description

Boldly built for every fandom, Tubi is a free streaming service that entertains over 100 million monthly active users. Tubi offers the world's largest collection of Hollywood movies and TV shows, thousands of creator-led stories and hundreds of Tubi Originals made for the most passionate fans. Headquartered in San Francisco and founded in 2014, Tubi is part of Tubi Media Group, a division of Fox Corporation.

About the Role

Tubi is seeking a highly skilled and experienced Senior QA Analyst 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 three days a week.

What You'll Do

• 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 ABR logic, encoding pipelines, and DRM integrations—under diverse real-world conditions.
• Debug with precision using tools like Charles Proxy, Chrome DevTools, 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.

Your Background

• Bachelor’s degree in Computer Science, Software Engineering, or related field, or equivalent hands‑on experience.
• 4+ years of QA experience, preferably in streaming media or VOD/OTT platforms.
• Strong technical knowledge of video streaming protocols (HLS, DASH, MPEG‑TS), DRM systems, and CDN architectures.
• Experience validating AI/ML systems in production—e.g., 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 DevTools).
• 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.

Nice to Have

• Experience testing machine learning‑driven streaming features such as recommendation systems, ad targeting, or automated metadata tagging.
• Familiarity with continuous testing and CI/CD environments (Jenkins, GitHub Actions, CircleCI).
• Understanding of observability tools (Grafana, Kibana, Datadog) for post‑deployment validation.
• Strong ability to triage issues in large distributed systems and collaborate with engineering to resolve root causes.

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.