Overview
Junior Web/Interactive QA Tester Jobs in Calgary, Alberta at Patterned Learning Career
Title: Junior Web/Interactive QA Tester
Company: Patterned Learning Career
Location: Calgary, Alberta
This is a remote position.
Junior Web/Interactive QA Tester – Remote Job, 1+ Year ExperienceAnnual Income:$57K – $67K
A valid work permit is necessary in Canada.About us:Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
Responsibilities
Review and analyze website specifications
Technical requirements
Content needs
Visual design briefs
Collaborate with team members to develop effective strategies and test plans
Execute test cases (manual or automated) and analyze results
Report bugs and errors to development teams
Help troubleshoot issues
Conduct post-release/post-implementation testing
Work with cross-functional teams to ensure quality throughout the software development lifecycle
Create and refine the QA process for both clients and the internal team
Develop QA protocols on a per-project basis that align with the project and/or launch needs.
Research and adapt to new technologies to stay up-to-date with technology standards
Review, respond, and assign incoming help desk trouble tickets
Oversee weekly automated website maintenance procedures
Requirements and skills
Experience with agile projects and QA methodology
Ability to document and troubleshoot errors
Knowledge of testing software (e.g. Bug-herd, Browserstack, Lambda, Email on Acid)
Ability to learn new technologies and software quickly
Excellent communication skills
Attention to detail
Analytical mind and problem-solving aptitude
Strong organizational skills
Advantages
Annual Salary increment
Health insurance
401k matching
Flexible working hours
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
Pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.
