Senior QA Specialist / QA Lead (AI Testing Focus)
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- Minimum of 10+ years of experience performing testing for large-scale applications, including on-premise web solutions, cloud-based integrations, and mobile platforms.
- Posting language
- English
- Posted
Original job description
Client: City of Toronto (Technology Services)
Job Title: Systems Testing/QA Specialist – Senior (AI Testing)
Location: Hybrid: 3 Days onsite | Metro Hall, 55 John Street
Engagement: Contract Full-Time
Contract Duration: 130.00 Days (Potential Extension)
Job Description:
Must Have:
- Minimum of 3 years of solid experience in AI-assisted testing with hands-on experience in developing AI-powered QA agents using agentic AI, LLM technologies and chatbot applications to create and execute test cases.
- Minimum of 10+ years of experience performing testing for large-scale applications, including on-premise web solutions, cloud-based integrations, and mobile platforms.
- Extensive hands-on experience with all layers of testing: UI, Integration, Regression, Performance, AI-enabled systems, and User Acceptance Testing - across web-based, mobile, and cloud platforms.
- Proven ability to execute AI testing activities utilizing specialized tools such as DeepEval, Applitools, Promptfoo, SaolaAI, Reflect AI, Agentic AI, Copilot Studio Kit, etc.
NOTE: HM is looking for strong AI testing experience.
Public Sector Experience: Preferred
References are required
Responsibilities:
- The Quality Assurance Specialist (QA lead) is responsible for performing application testing tasks.
- The Quality Assurance activities including Functional Testing, Automation Testing, and various AI testing as described below.
- The Quality Assurance Specialist (QA lead) will participate in planning and estimating the activities required to test the new solutions and enhanced applications. He/She will participate in the development of Master Test Plans, Test
- Cases, Test Scripts, Test Completion Reports, etc. while providing advice to business users for the development of Test Cases for User Acceptance Test.
- Executing the tests as required, performing issue tracking and resolution.
- The Quality Assurance Specialist (QA Lead) plays a critical role in ensuring the delivery of high-quality software solutions by designing, executing, and managing testing activities throughout the software development lifecycle.
- The QA Specialist will work collaboratively with cross-functional teams to validate system functionality, performance, and usability, and ensure alignment with business requirements and quality standards.
- Quality Assurance Leadership
- Lead testing efforts for assigned projects, including planning, coordination, execution and oversight of QA activities.
- Assess risks to quality based on verification and validation results and provide recommendations for mitigation.
- Implement and maintain quality processes that support development and production change management.
- Test Design & Planning
- Design comprehensive manual and automated testing processes, including test plans, test cases, and test scripts.
- Develop functional, system, regression, integration, load, and performance test scenarios based on project requirements.
- Collaborate with development leads and business analysts to design and create test data to support test execution.
- Test Execution & Management
- Perform various types of testing manually and/or using automation tools, including:
- Functional Testing
- Regression Testing
- Integration Testing
- Usability/Accessibility Testing
- Performance Testing
- Perform the following types of AI testing activities:
- Functional AI Testing
- Response accuracy
- Hallucination testing
- Prompt testing
- AI-Security and privacy testing (prompt injection)
- AI-Safety Testing (inappropriate behaviours)
- Execute test cycles, monitor progress, and manage defect resolution and issue tracking.
- Maintain detailed records of test results and discrepancies using designated QA tools.
- Coordination & Collaboration
- Work closely with project managers, implementation team, system administrators, architects, vendors (as needed) and database administrators to ensure testing activities are aligned with project timelines and technical requirements.
- Lead and assist business users in conducting User Acceptance Testing (UAT), providing guidance and support as needed.
- Reporting & Communication
- Manage the full-cycle process for documenting and communicating test discrepancies and defects to appropriate stakeholders.
- Provide regular updates on testing progress, issues, and outcomes to project teams and management
- Develop and build a Test Completion Report summarizing all testing activities and results for Gating purposes
Qualifications:
- Post-secondary degree in Computer Science, Electronic Engineering, or a related discipline.
- Minimum of 10+ years of experience performing testing for large-scale applications, including on-premise web solutions, cloud-based integrations, and mobile platforms.
- Minimum of 3 years of solid experience in AI-assisted testing with hands-on experience in developing AI-powered QA agents using agentic AI, LLM technologies and chatbot applications to create and execute test cases.
- Experience using AI tools to increase testing coverage, negative testing, regression testing with knowledge of AI-assisted automation for CI/CD pipelines.
- Experience leading and coordinating testing activities in collaboration with project with project teams and a strong understanding of the various delivery methodologies such as: SDLC - Waterfall, Agile (Scrum), Hybrid, and DevOps.
- Certification in Software Quality Engineering or an equivalent credential is considered a strong asset.
- Excellent analytical skills in business processes, information systems, information management, and web UI design and accessibility.
- Strong written and verbal communication skills, with the ability to collaborate effectively across multidisciplinary teams.
Technical Capabilities:
- Extensive hands-on experience with all layers of testing: UI, Integration, Regression, Performance, AI-enabled systems, and User Acceptance Testing - across web-based, mobile, and cloud platforms.
- Proven ability to execute AI testing activities utilizing specialized tools such as DeepEval, Applitools, Promptfoo, SaolaAI, Reflect AI, Agentic AI, Copilot Studio Kit, etc.
- Skilled in implementing automated testing using tools such as Micro Focus UFT, TOSCA, Selenium, Cucumber, as well as conducting performance testing with JMeter and OpenText Load Runner.
- As well as experience with platforms such as: ServiceNow, Salesforce, SAP, or equivalent are considered an asset
- Strong experience in executing test cycles, analyzing results, and managing the full defect lifecycle using tools like OpenText ALM, OpenText Octane, JIRA, Visual Studio, Confluence, etc.
- Demonstrated capability in analyzing business requirements and user stories to design test scenarios, develop test cases and scripts, prepare test data, and assess results for quality assurance.
More about this job
Responsibilities
Lead and coordinate QA activities across the software development lifecycle, including test planning, manual and automated execution, defect resolution, and risk mitigation. Collaborate with project teams and business users on UAT, AI-specific testing, progress reporting, and test completion documentation.
Requirements
Requires at least 10 years of testing experience with large-scale web, cloud, and mobile applications, including at least three years of hands-on AI-assisted testing using agentic AI, LLMs, and chatbot applications. A post-secondary degree in computer science, electronic engineering, or a related discipline is required, along with experience in testing tools, delivery methodologies, and cross-functional coordination.
Skills
- AI Testing
- Quality Assurance Leadership
- Test Planning
- Test Case Design
- Test Automation
- Functional Testing
- Regression Testing
- Integration Testing
- Performance Testing
- User Acceptance Testing
- AI Safety and Security Testing
- Defect Management
- Agentic AI
- Large Language Models
- Selenium
- JMeter
Visa sponsorship
Not detected in the job text
Categories
- Technology
- Software
- Government & Public Sector
- Management & Leadership
Keywords
- Quality Assurance
- AI Testing
- Agentic AI
- Large Language Models
- Chatbot Applications
- DeepEval
- Applitools
- Promptfoo
- SaolaAI
- Reflect AI
- Copilot Studio Kit
- Micro Focus UFT
- TOSCA
- Selenium
- Cucumber
- JMeter
- OpenText LoadRunner
- OpenText ALM
- OpenText Octane
- JIRA
- Visual Studio
- Confluence
- ServiceNow
- Salesforce
- SAP
- CI/CD
- SDLC
- Agile
- Scrum
- DevOps