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QA Tester – Streaming & Sports Data

@ Flexstaf IT

Toronto, Ontario

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Overview

Flexstaf IT is hiring a senior QA tester to validate streaming and sports data across mobile and web, split roughly 50/50 between the two. The work covers playback and entitlement testing plus accuracy checks of scores, schedules, statistics and live-event content.

Responsibilities:

  • Test live and on-demand streaming across mobile and web
  • Validate scores, schedules, statistics and game details against official sources
  • Maintain regression coverage and retest defects
  • Identify high-value flows for automation

Requirements summary:

  • Strong video playback and streaming testing experience
  • Strong sports data and statistics validation experience
  • Knowledge of NHL, MLB, NBA and other leagues
  • Solid test-case and defect-reporting skills
  • Basic exposure to Appium, Playwright or Selenium
  • AI-first SDLC practices preferred

Tools & skills

Source and dates

Source type not verified · manatal

Employer posting date
2026-11-13
First seen by our source
2026-11-13
Source record updated
2026-11-13

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Job details

SenioritySenior
DepartmentSoftware development
Travelair: none · ground: none
Work settingOffice
PositionMostly sitting
Physical demandsphysical low · computer high
LanguagesEnglish

Summary and details written by AI from the posting; the employer’s posting is the authority.

Flexstaf IT

FieldValue
Open jobs on Jobsy84
Job description

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.

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