QA Engineer (Automation, AI & Manual Testing)

TEEMA Solutions Group; Brampton; On-site; CAD 70,000 - 90,000; Full time

Job summary

A technology solutions provider in Brampton, ON is seeking a highly skilled QA Engineer to ensure product quality through automation and manual testing. The role involves building test frameworks, enhancing testing with AI tools, and collaborating within CI/CD pipelines. Ideal candidates have a Bachelor’s degree in a relevant field and 2-3 years of QA experience, with expertise in automation and API testing. Competitive compensation and opportunities for professional growth are offered.

Qualifications

• 2-3 years of QA experience (manual + automation).
• Strong experience with test automation frameworks.
• Hands-on experience with API testing.

Responsibilities

• Design, develop, and maintain scalable automation frameworks.
• Write and execute test cases, scenarios, and acceptance criteria.
• Leverage AI tools for test optimization and defect clustering.

Skills

Automation testing

Manual testing

AI-driven QA practices

CI/CD pipelines

API testing

Education

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

Tools

Selenium

Cypress

Postman

Job description

Pillway - Full-time

In-Office | Brampton, ON, Canada

Overview

We are looking for a highly skilled QA Engineer with expertise in automation testing, manual testing, and AI-driven QA practices. The candidate will ensure product quality by building robust test frameworks, integrating them into CI/CD pipelines, and leveraging AI/ML tools to improve test efficiency, coverage, and defect prediction.

Responsibilities

• Automation & Manual Testing: Design, develop, and maintain scalable automation frameworks for web, mobile, and APIs.
• Write and execute test cases, scenarios, and acceptance criteria.
• Perform manual exploratory testing for edge cases and new features.
• Conduct functional, regression, smoke, integration, performance, load, and security testing.
• AI-Powered QA: Leverage AI tools for test case generation, test optimization, and defect clustering.
• Apply AI-based visual testing and anomaly detection.
• Use NLP-based models for requirement analysis and automated acceptance criteria.
• Research and introduce generative AI tools for test data creation and root cause analysis.
• CI/CD & DevOps Integration: Collaborate with DevOps to integrate automated test suites into CI/CD pipelines (Azure DevOps, Jenkins, Bitbucket, GitHub Actions, GitLab).
• Ensure smoke, regression, and performance tests run automatically in pipelines.
• Configure quality gates (e.g., code coverage, defect leakage thresholds).
• Monitor and debug test executions in pipeline runs.
• Work with Docker/Kubernetes for containerized test execution.
• Collaboration & Quality Processes: Work with developers and product managers to define test strategies in Agile ceremonies.
• Set up and manage test environments and synthetic test data.
• Track and report defects using JIRA, Azure Boards, or similar tools.
• Drive adoption of QA best practices and AI-augmented processes.

Required Skills & Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 2-3 years of QA experience (manual + automation).
• Strong experience with test automation frameworks (Selenium, Cypress, Playwright, Appium).
• Hands-on experience with API testing (Postman, RestAssured, Karate).
• Familiarity with AI-powered QA platforms.
• Knowledge of CI/CD pipelines and cloud platforms (Azure, AWS, or GCP).
• Experience with test management tools (TestRail, Zephyr, Xray).

Preferred Skills

• Knowledge of AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn) for QA innovation.
• Familiarity with performance testing tools (JMeter, Gatling, Locust).
• Understanding of static code analysis/security tools (SonarQube, OWASP ZAP, StackHawk).
• QA certifications (ISTQB, AI in Testing, or equivalent).