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QA Engineer

3 months ago

Vancouver, Canada TEEMA Full time

Please note you must be residing in BC and must show case AI project experience in your resume in order to be contacted.



QA Engineer - AI Experience - Augmented Development Process


Location: Vancouver Downtown / Hybrid 2 days onsite


MUST HAVE: Do you have experience or skills related to AI or machine learning applications as a QA?


Role Overview:

We are seeking a QA Engineer who is passionate about leveraging the latest in test automation and AI technologies to improve software quality. This is not your conventional QA role; it requires a deep understanding of modern QA methodologies, automation tools, and a keen interest in AI-augmented processes. You will play a pivotal role in shaping our AI-driven QA framework, ensuring that our software meets the highest standards of quality and reliability.



Key Responsibilities:

· Collaborate with cross-functional teams to understand product requirements and develop comprehensive test plans, test cases, and test scripts.

· Implement and maintain automated testing frameworks using a variety of tools and technologies, with a focus on efficiency and scalability.

· Work closely with the development team to integrate AI-driven testing methodologies into the software development lifecycle.

· Utilize JIRA and other project management and bug tracking software to manage test plans, cases, and report issues effectively.

· Continuously evaluate and incorporate new test automation tools and practices to enhance testing effectiveness.

· Participate in continuous learning opportunities to stay abreast of emerging AI and QA technologies and methodologies.



Qualifications:

· Bachelor's degree in Computer Science, Engineering, or a related field.

· Proven experience in QA engineering, with a strong background in test automation.

· Proficient with automation tools (e.g., Selenium, TestComplete, Jenkins) and scripting languages (e.g., Node, Python, JavaScript).

· Extensive experience with JIRA as a project management and bug tracking tools.

· Demonstrated ability to learn and adapt to new technologies and methodologies, particularly in AI and machine learning applications in QA.