RQ00822 – Systems Testing/QA Specialist – Senior

Interested in this role?Maarut • Toronto, Ontario
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Website Maarut

The Quality Assurance Specialist (QA lead) is responsible
for performing application testing tasks and 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.

The Quality Assurance (QA) Specialist will be working under
a hybrid work model (3 days in office and a remote location). The office
location will be Metro Hall 15th floor, 55 John Street in Toronto.
The successful candidate will be working seven (7) hours per day, five (5) days
per week based on normal working Business Hours.

Key Responsibilities:

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


Requirements

Assignment Duties:

  • 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.

 

The City may contact the references provided. Should any
reference fail to confirm that the services listed in Section 3.0 were
performed in a satisfactory manner; the Candidate may be declared non-compliant
and not considered for the remainder of the evaluation process.

 

 

 

Key Deliverables

  • Design and deliver detailed manual and automated test plans,
    test cases, and test scripts aligned with business requirements and project
    objectives.
  • Perform various testing types (functional, regression,
    integration, system, performance, usability, and UAT) across multiple platforms
    and environments. Report and document results accordingly.
  • Maintain accurate records of test discrepancies and defects
    using designated QA tools and provide timely reports and recommendations to
    stakeholders.
  • On as needed basis, develop and implement automated testing
    frameworks and scripts using tools such as Micro Focus/OpenText UFT, Selenium,
    Cucumber, etc.
  • On as needed bases, conduct load and stress testing using
    tools like Load Runner or JMeter and deliver performance analysis reports with
    actionable insights.
  • Collaborate with business analysts and developers to create
    and manage test data and scenarios that support robust validation of business
    processes.
  • Support the implementation of quality assurance processes
    and contribute to the continuous improvement of testing practices within Agile,
    DevOps, and traditional environments.

Must Haves:

  • 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.

 

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