Title: SR QA Engineer
Duration: Permanent Role
Location: Toronto (financial district) 2/3 a week on-site
Qualifications & Experience
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
- 8+ years of hands-on software quality assurance experience, with strong functional/manual testing experience and meaningful exposure to test automation.
- Prior experience independently owning testing for complex releases or functional areas is expected.
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 analyse 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, GitLab CI, Azure DevOps, 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 use of AI to improve QA productivity and coverage.
- Banking or financial-services domain experience.
Soft Skills / Work Environment
- Strong analytical, problem-solving, and troubleshooting skills with high attention to detail.
- Ability to challenge assumptions, identify gaps, and communicate quality risks constructively.
- Excellent written and verbal communication skills, particularly in documenting test results and explaining defects or risks.
- Ability to work independently, manage multiple priorities, and deliver in a fast-paced Agile environment.
- Collaborative mindset with a strong sense of ownership and accountability for product quality.
