QA Engineer – AI at mimik
Vancouver, BC, Canada -
Full Time


Start Date

Immediate

Expiry Date

29 Apr, 25

Salary

0.0

Posted On

29 Jan, 25

Experience

0 year(s) or above

Remote Job

No

Telecommute

No

Sponsor Visa

No

Skills

Computer Science, Zephyr, Jira, Jenkins, Qa Engineering, Python, Scripting Languages, Javascript, Automation Tools, Test Automation, Testcomplete, Communication Skills

Industry

Information Technology/IT

Description

EDUCATION

  • Bachelor’s degree in Computer Science, Engineering, or a related field.

EXPERIENCE

  • 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 tool.
  • Extensive experience with Zephyr or other test planning and management tools.
  • Demonstrated ability to learn and adapt to new technologies and methodologies, particularly in AI and machine learning applications in QA.

SKILLS

  • Excellent analytical, problem-solving, and communication skills.
Responsibilities

ABOUT THE ROLE

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 and 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 various tools and technologies, focusing 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.
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