QA Team Lead

Centrilogic; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

Centrilogic is seeking a QA Team Lead to oversee the QA workstream on client engagements, defining the test approach and leading a team of QA practitioners. You will coordinate functional, regression, and UAT testing, and drive automation and AI-enabled QA initiatives.

You will work with Centrilogic developers, business analysts, and project managers, shaping test strategy, data readiness, and release readiness across Azure and .NET projects.

Qualifications

• Experience leading QA teams on client engagements.
• Ability to define test strategy, scope, and release readiness measures.
• Proven track record building automation frameworks and CI/CD integration.
• Experience with AI-assisted testing and reviewing AI-produced test assets.
• Strong collaboration with developers, BAs, and PMs to improve quality across projects.

Responsibilities

• Define the QA workstream strategy for engagements and set entry/exit criteria.
• Lead a team of QA Practitioners across functional, regression, and UAT testing.
• Oversee test design, automation scope, and data readiness.
• Coordinate UAT with business users and track defects to closure.
• Report status, risks, and quality metrics to stakeholders and engagement lead.

Skills

QA Team Leadership

Test Strategy

Automation & CI/CD

AI in Testing

Mentoring & Stakeholders

Tools

Playwright

Selenium

Cypress

Azure Pipelines

GitHub Actions

Postman

REST Assured

Jira

Job description

QA Team Lead Position Overview Centrilogic is seeking to strengthen its quality assurance (QA) practice, which places testing professionals on client projects. To do that, we are looking for a QA Team Lead to run the QA workstream on those engagements. You will set the test approach, lead a team of QA Practitioners, and answer for the results of functional, regression, and user acceptance testing (UAT). Our projects center on custom applications built on Azure and .NET, hosted in the cloud, on premises, or both. You will work alongside CentriLogic developers, business analysts, and project managers. Unit testing belongs to the development team and is outside the scope of this role. We want thinkers as well as doers. You will question assumptions, look for better ways to test, and bring innovation to the work, including practical use of AI. You will also write automation and review AI-produced test assets yourself, while managing stakeholders, plans, and the performance of your team.

Key Responsibilities

Test strategy and delivery

Test strategy and delivery Define the test strategy, scope, entry and exit criteria, and release readiness measures for each engagement, based on business requirements and risk. Plan testing across environments hosted in Azure or on premises, including environment readiness, configuration, and test data. Estimate and plan QA effort, assign work to Practitioners, and track progress against the project plan. Oversee the design of functional and regression test suites, and decide which scenarios to automate and which to keep manual. Plan and coordinate UAT with business users: prepare scripts and test data, run sessions, collect feedback, track defects to closure, and report readiness for acceptance. Lead defect triage with developers, business analysts, and project managers. Maintain traceability from requirements and user stories to test cases and defects. Report status, risks, and quality metrics to stakeholders and to the engagement lead.

Test automation

Test automation Build and maintain an automation framework for web UI, API, and integration regression testing, using a modern framework such as Playwright, Selenium, or Cypress, in a language that suits the project such as C#. Set coding standards and reusable components. Design API and integration tests for .NET services and the systems they connect to. Integrate automated regression into continuous integration and delivery (CI/CD) pipelines, using tools such as Azure Pipelines, GitHub Actions, or similar. Where it helps, run suites in parallel on a cloud browser service. Track flaky tests, find the cause, and keep the regression suite fast and trustworthy.

AI enabled QA

AI enabled QA Set how the team uses AI in testing, and require human review of everything AI produces before it enters a test suite or a report. Use AI assistants and agents, such as GitHub Copilot, Microsoft 365 Copilot, and the Playwright Test Agents, or other similar tools, to draft test plans, test cases, test data, and automation code from requirements and user stories. Use AI to find gaps and ambiguity in requirements, summarize failed runs and defect patterns, and rank regression tests by the risk of each change. Test AI features in the applications we build, and plan for answers that vary from run to run. Check tests written by AI for accuracy, maintainability, and security. Keep confidential data, credentials, and personal information out of prompts and test files, and use only approved tools.

Innovation and leadership

Innovation and leadership Challenge the usual way of testing. Pilot new tools and AI techniques, measure whether they help, and share what works across the practice. Coach and review the work of QA Practitioners, set goals, and give regular feedback. Report on defect leakage, regression automation coverage, test stability, UAT completion, and release readiness. Contribute to the CentriLogic QA practice with reusable templates, accelerators, estimating guidance, and QA input to proposals and statements of work.

Example Tools

• Test management and UAT Azure DevOps Boards and Test Plans (cloud or Server), Jira with a test management add on, or other similar tools.
• Browser extensions for exploratory testing, such as Test & Feedback.
• UI, API, and integration automation Playwright, Selenium, Cypress, or other similar frameworks, in C#, TypeScript, JavaScript, Java, or Python.
• Postman, REST Assured, or other similar tools for API testing.
• Pipelines and execution Azure Pipelines, GitHub Actions, Jenkins, or other similar tools, with cloud browser services such as Playwright Workspaces in Azure App Testing where parallel runs help.
• AI support GitHub Copilot, Microsoft 365 Copilot, AI test agents such as the Playwright Test Agents, Model Context Protocol servers that connect assistants to a browser, or other similar tools.

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