QA Automation Engineer

Hubbl Technologies; Canada; On-site; CAD 80,000 - 100,000; Full time

Job summary

A technology company in Canada is looking for a QA Automation Engineer to revolutionize quality assurance processes using AI-powered tools. This role involves designing comprehensive testing strategies, integrating AI testing tools, and resolving technical challenges. Candidates should have over 5 years of experience in QA automation and practical experience with AI-driven testing tools. Strong collaboration and communication skills are essential, along with a Bachelor's degree in a related field. Competitive salary and a dynamic work environment offered.

Qualifications

• 5+ years of experience in a software QA automation role.
• Hands-on experience using modern AI-powered testing tools.
• Solid understanding of core QA principles and software development lifecycles.

Responsibilities

• Design and implement a comprehensive AI-driven testing strategy.
• Integrate AI testing tools into our CI/CD pipelines.
• Continuously research and evaluate emerging AI-in-QA technologies.

Skills

AI-powered testing tools

Collaboration skills

Communication skills

Problem-solving

Education

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

Tools

Applitools

Mabl

Testim.io

Functionize

Parasoft

Job description

At Hubbl, we’re building a team where curious, driven people can do their best work. We value ownership, collaboration, and a bias toward action, and we create an environment where ideas are heard and impact is real.

Hubbl helps organizations understand and improve how their Salesforce systems actually work. Our platform brings clarity to complex systems by revealing how configuration, automation, and real‑world processes fit together. With a single, trusted source of insight, teams can move faster, reduce risk, and confidently build for what’s next.

About the Role

We are seeking a forward‑thinking QA Automation Engineer to revolutionize our quality assurance processes. In this role, you will move beyond traditional, script‑heavy frameworks and leverage cutting‑edge AI and machine learning platforms to deliver faster, smarter, and more comprehensive testing. You will be responsible for implementing and scaling an AI‑driven testing strategy that automates test creation, execution, and maintenance. The ideal candidate is passionate about the future of QA and has hands‑on experience using AI to build resilient, efficient, and intelligent automation solutions.

What You’ll Do

• Pioneer AI‑Driven Testing: Design and implement a comprehensive testing strategy that utilizes AI‑powered tools for web, mobile, and API testing.
• Leverage AI Platforms: Employ AI testing platforms to achieve key objectives such as autonomous test generation, self‑healing scripts, integration with CI/CD pipelines, proactive removal of technical blockers, continuous evaluation of emerging AI‑in‑QA technologies, insightful analytics on test coverage and bug patterns, and collaboration with engineering and product teams to champion AI‑driven QA methodologies throughout the organization.
• Integrate and Scale: Seamlessly integrate AI testing tools into our CI/CD pipelines to provide rapid, intelligent feedback to development teams.
• Proactively Remove Technical Blockers: Identify, analyze, and directly resolve complex technical challenges during all phases of solution delivery.
• Evaluate New Tools and Report Insights: Continuously research, evaluate, and prototype emerging AI‑in‑QA technologies, and utilize AI‑driven analytics to uncover deep insights into test coverage, application quality, and bug patterns, presenting these findings to stakeholders.

What You Bring

• 5+ years of experience in a software QA automation role.
• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• Hands‑on experience using modern AI‑powered testing tools such as Applitools, Mabl, Testim.io, Functionize, Parasoft, or similar platforms.
• Solid understanding of core QA principles, test strategy, and software development lifecycles (SDLC).
• Experience integrating automation tools into CI/CD pipelines with platforms such as GitHub Actions, GitLab CI, or Jenkins.
• Exceptional collaboration, communication, and presentation skills, both written and verbal.

Preferred Qualifications

• Foundational understanding of machine learning concepts and how they apply to testing (e.g., computer vision, natural language processing).
• Experience with performance or security testing.
• Experience with cloud platforms such as AWS or Salesforce.
• Proven track record of successfully leading the adoption of a new tool or process within an engineering team.