QA Tester – Streaming & Sports Data

We are looking for a senior-level QA tester with a balanced mix of streaming/video and sports data testing experience across mobile and web. The role has a roughly equal focus on validating the streaming experience and the accuracy of sports content and statistics.

About the role

The work is split approximately 50/50 between streaming and sports data validation.

• Streaming: Coverage includes playback, entitlement, resilience, and cross-device/browser scenarios across supported mobile and web platforms.
• Sports data: Coverage includes scores, schedules, game details, statistics, and other relevant content throughout the live-event experience.
• Ongoing QA: The tester maintains regression coverage, tracks and retests defects, and identifies high-value flows for automation.

Qualifications

• Strong experience testing live and on-demand video playback across mobile apps and web, including stream start-up, playback controls, buffering, seeking, quality changes, full-screen behaviour, and recovery from playback interruptions.
• Strong experience validating sports data and statistics against official sources, including scores, schedules, standings, game details, team and player information, and other in-game or event data.
• Experience validating streaming across devices, browsers, OS versions, network conditions, and account/entitlement states, including regional and playback-access scenarios.
• Good knowledge of the NHL, MLB, NBA, and other relevant leagues, with the ability to identify issues in live and scheduled sports content and statistics.
• Experience testing live-event journeys end to end, ensuring the stream and its associated sports data remain accurate and aligned through pre-game, live, intermission, and post-game states.
• Experience validating platform-specific streaming capabilities such as PiP and Chromecast, where supported.
• Solid understanding of functional, regression, exploratory, smoke, and end-to-end testing, with strong test-case and defect-reporting skills.
• Basic exposure to automation tools such as Appium, Playwright, or Selenium, including running existing suites and making simple updates to stable checks.
• Ability to work independently and collaboratively with QA automation and cross-functional teams.
• Familiarity with AI-first SDLC practices is preferred.