Test Strategy & Execution: Collaborate with cross-functional teams to translate product requirements into comprehensive test plans, test cases, and test scripts.
Automation Frameworks: Design, implement, and maintain scalable automated testing frameworks across Native, Web frontends, and Backend APIs.
AI Integration: Partner with engineering teams to integrate AI-driven testing methodologies into the software development lifecycle.
Defect & Project Management: Utilize JIRA, Zephyr, and modern bug-tracking software to manage test suites, report defects, and track quality metrics.
Continuous Improvement: Continuously evaluate and adopt emerging test automation tools, AI/ML QA practices, and industry standards to maximize test coverage and efficiency.
What you must have:
Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field.
QA & Automation Background: Proven experience in QA engineering with a strong foundation in test automation across native platforms, web frontends, and backend APIs.
Technical Skills: Proficiency with automation tools (e.g., Selenium, TestComplete, Jenkins) and scripting languages (e.g., Python, JavaScript, Node.js).
Tooling: Hands-on experience with JIRA and test management platforms such as Zephyr.
AI Innovation: Demonstrated ability to adapt to emerging technologies, specifically AI and machine learning applications within software QA.
Core Competencies: Excellent analytical, problem-solving, and cross-team communication skills.
Salary/Rate Range: $70,000.00 - $80,000
Thank you for your interest in this opportunity. If you are selected to move forward in the process, we will contact you directly. If you do not hear from us, we encourage you to continue visiting our website for other roles that may be a good fit.
QA Engineer • Vancouver, British Columbia
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