Fuel Industries

Senior QA Analyst

Ottawa, ON, Canada · Senior

Sponsorship not specifiedDetected 3473 days ago

JavaScriptHTMLCSSCode ReviewVPNVideo ProductionResearchCommunicationProblem Solving

About the role

Fuel is the intersection of advertising and entertainment - where enjoyment meets solid business strategy.
For one thing, "research" regularly includes playing console games on a screen the size of Alaska.
In your first three months, you'll touch more brands, and gain more experience, than you would working in a traditional agency for a year.

Plan, design, peer review, and execute manual and automated test procedures.
Perform integration, smoke, load, usability, performance and regression tests.
Drive tasks for offshore QA testers on a daily basis
We marry the best strategists and creative minds with an army of in house experts in the fields of animation, design, film and video production, sound design, music and online programming.
We're one of the most advanced and innovative interactive studios in North America, developing online experiences and mobile marketing programs for some of the most respected brands in the world.
The QA Specialist will plan, design and execute test procedures for web applications, games and interactive mobile experiences.

Ability to work in a dynamic and collaborative team environment.
Ability to quickly learn and apply new concepts, principles and solutions.
Must have used all popular browsers regularly and understand their technical differences.
Experience playing web and mobile games is an asset.

Degree in Computer Science or related field or equivalent training and professional experience.
3+ year experience in quality assurance.
Experience with HTML5/CSS/JavaScript testing across all platforms and browsers
Experience testing mobile applications
Adept at using Fiddler, HTTPWatch and VPN in testing
Knowledge of programming for automated testing.
Experience working in the game industry is a plus.

This listing is sourced directly from Fuel Industries's careers page and normalized into a canonical job model.