Quality Assurance Team Lead

Centrilogic; Canada; On-site; CAD 110,000 - 170,000; Full time

Job summary

Centrilogic is seeking a QA Team Lead to steer the QA workstream on client engagements. You will set the test approach, lead a team of QA Practitioners, and own results across functional, regression, and UAT testing.

Our projects focus on Azure and .NET-based applications, with cloud and on-premises deployments. You’ll drive innovation, write automation, review AI-generated assets, and manage stakeholders and delivery quality.

Qualifications

• 7+ years of experience in software QA, including team leadership.
• Proven delivery of functional, regression, and UAT testing on enterprise apps.
• Experience with Azure and .NET in cloud or on-prem deployments.
• Experience managing test cases, defects, and traceability in Azure DevOps or Jira.
• Experience running automated tests in CI/CD pipelines.
• Experience using generative AI in testing and reviewing its output.
• Clear written and spoken communication with executives and technical teams.
• Experience with C# and the .NET ecosystem is preferred.
• ISTQB or MicrosoftAzure/DevOps certification is a plus.
• Experience delivering work remotely across time zones is a plus.

Responsibilities

• Define the test strategy, scope, entry and exit criteria, and release readiness for engagements.
• Plan testing across Azure or on-prem environments, including test data and readiness.
• Estimate QA effort, assign work, and track progress against project plans.
• Oversee design of functional and regression test suites and decide automation vs. manual scope.
• Coordinate UAT with business users, prepare scripts, collect feedback, and track defects to closure.
• Lead defect triage with developers and business analysts.
• Maintain traceability from requirements to test cases and defects.
• Report status, risks, and quality metrics to stakeholders and engagement lead.
• Build and maintain an automation framework for web UI, API, and integration testing (Playwright/Selenium/Cypress).
• Design API and integration tests for .NET services.
• Track flaky tests and keep the regression suite fast and trustworthy.

Skills

QA leadership

Test strategy

Automation design

Stakeholder management

Tools

Azure DevOps

Jira

.NET tooling

Playwright/Selenium/Cypress

Job description

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

• 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.
• 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.
• Track flaky tests, find the cause, and keep the regression suite fast and trustworthy.

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

• 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

The tools below are examples, not requirements. We welcome candidates with equivalent experience in other tools, and we choose tools engagement by engagement.

Area

Examples, or other similar tools

• Test management and UAT
• UI, API, and integration automation
• Pipelines and execution
• AI support
• Accessibility
• Accessibility Insights for Web or other similar tools, checking against the Web Content Accessibility Guidelines (WCAG) 2.1 level AA.
• Reporting
• Azure DevOps dashboards, Power BI, Excel, or other similar tools.

Qualifications

Required Qualifications

• 7+ years of experience in software QA, including at least 2 years leading a QA team or workstream.
• Proven delivery of functional, regression, and UAT testing on custom enterprise applications, including web, API, and integration layers.
• Experience testing applications built on Azure and .NET, hosted in the cloud, on premises, or both.
• Experience managing test cases, defects, and requirement traceability in a tool such as Azure DevOps Test Plans or Jira.
• Experience running automated tests in CI/CD pipelines.
• Has used generative AI in testing work, such as test design, test data, automation code, or defect analysis, and has sound judgment in reviewing its output.
• A record of thinking differently: you have introduced a new tool, technique, or AI approach that improved how testing was done.
• Clear written and spoken communication with executives, business users, and technical teams, including setting expectations and raising risks early.

Preferred Qualifications

• Experience with C# and the .NET ecosystem.
• Experience testing applications that include AI features, such as chatbots or AI agents.
• Accessibility testing experience.
• International Software Testing Qualifications Board (ISTQB) certification, or a Microsoft certification relevant to Azure or DevOps.
• Exposure to Microsoft Power Platform is an asset.
• Experience at a consulting or professional services firm, and experience delivering work remotely across time zones.

What We're Looking For

We want a lead who thinks. You see a testing problem and ask whether there is a better way to solve it. You try new ideas, including AI, and you can show what worked and what did not. You can join a project, put a workable test approach in place quickly, and report results people trust. You will also help Practitioners build the same habits of curiosity and careful checking.