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Quality Assurance Engineer

Job in Toronto, Ontario, C6A, Canada
Listing for: Quarry Consulting Inc
Full Time position
Listed on 2026-10-16
Job specializations:
  • Quality Assurance - QA/QC
    IT QA Tester / Automation
Salary/Wage Range or Industry Benchmark: 90000 - 120000 CAD Yearly CAD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
  • Own functional, regression, integration, system, and end-to-end testing for complex application and backend workflows.
  • Analyze business and technical requirements, identify test scenarios, assess test coverage, and highlight requirement or design gaps early in the delivery lifecycle.
  • Create and maintain high-quality test documentation including test plans, detailed test scenarios, test cases, traceability matrices, test evidence, execution reports, and release-quality summaries.
  • Perform database and backend validation using SQL to verify data integrity, transformations, transactional accuracy, and downstream processing results.
  • Validate APIs and service integrations using tools such as Postman and support automation of repeatable API and backend regression scenarios.
  • Develop, maintain, and execute automated tests using appropriate UI, API, or backend automation frameworks; contribute to improving regression efficiency and coverage.
  • Perform defect analysis and triage, provide clear reproduction details and supporting evidence, and collaborate with engineering teams through resolution and retesting.
  • Validate file-based workflows, scheduled jobs, and inter-system data exchanges, including reconciliation of source and target results.
  • Estimate testing effort, plan test execution, identify delivery risks, and communicate testing status and quality concerns to project and QA leads.
  • Mentor less experienced QA engineers on functional testing practices, test design, documentation quality, defect reporting, and effective validation techniques.
  • Contribute to QA process improvements, reusable test assets, automation candidates, and continuous improvement initiatives across the team.
Required Skills
  • Strong hands-on experience in functional and manual testing of enterprise applications, with the ability to independently own complex test areas.
  • Experience in both manual and automation testing, with practical knowledge of designing, maintaining, and executing automated regression tests.
  • Strong understanding of STLC, test strategy, test planning, test design techniques, regression management, requirement traceability, and defect lifecycle management.
  • Proficiency in SQL and database testing for backend validation, reconciliation, data integrity checks, and troubleshooting.
  • Strong experience preparing structured test documentation and producing clear test evidence and execution reporting.
  • Hands-on API testing experience using Postman or similar tools, including request/response validation and negative testing.
  • Experience testing backend processes, integrations, and file-based data workflows.
  • Ability to analyze complex business flows, identify edge cases, and translate requirements into comprehensive test coverage.
  • Experience working in Agile/Scrum delivery teams and collaborating with developers, business analysts, product owners, and other cross-functional stakeholders.
Good-to-Have / Preferred Skills
  • Hands-on experience testing batch processing systems, scheduled jobs, batch files, job dependencies, restart/recovery scenarios, and batch reconciliation.
  • Exposure to Kafka, including validation of producer/consumer message flows, topics, payloads, and event-driven integrations.
  • Exposure to ETL testing, data pipelines, source-to-target validation, transformation rules, and data reconciliation.
  • Experience with automation technologies such as Selenium, Cypress, Playwright, Rest Assured, Java, Python, or equivalent frameworks.
  • Experience with CI/CD pipelines, Git, Jenkins, Git Lab CI, Azure Dev Ops, or similar delivery tooling.
  • Exposure to cloud-native or microservices-based environments, including Azure and Kubernetes.
  • Exposure to AI-assisted software testing, GenAI testing tools, AI-based test design or automation, or practical…
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