Senior Systems Testing-QA Specialists

StafinGo; Toronto; Ibrido; CAD 135.000 - 166.000; Tempo pieno

Descrizione del lavoro

Public Sector in Toronto seeks a Senior Systems Testing-QA Specialist to lead QA across multiple projects. The role requires designing test plans, coordinating manual and automated testing, and guiding UAT with business users.

You will drive AI-related testing, ensure quality across UI, API, and cloud platforms, and collaborate with developers, PMs, and stakeholders to mitigate risks and improve delivery quality.

Competenze

• 10+ years of software testing experience across large-scale applications.
• Proven leadership of QA activities, risk assessment and mitigations.
• Experience with AI-enabled testing and AI toolsets.

Mansioni

• Lead testing efforts, plan, coordinate, execute and oversee QA activities.
• Design comprehensive manual and automated tests, including data support.
• Lead and assist UAT with business users and stakeholders.
• Perform diverse testing types (functional, regression, integration, performance, usability).
• Coordinate defect tracking and reporting to project teams.

Conoscenze

QA Leadership

AI Testing

Functional Testing

Regression Testing

Test Automation

UAT

Test Planning

Load Testing

AI Tools

CI/CD

Formazione

Post-secondary degree in CS or related

Strumenti

OpenText UFT

Selenium

Cucumber

JMeter

LoadRunner

Descrizione del lavoro

Hiring: Senior Systems Testing-QA Specialists

Location: Toronto, Ontario, Hybrid (3 days a week in office)

Duration: December 15, 2026 – June 14, 2027 (possibility to extend)

Hourly Rate: $65/hour - $80/hour (based on experience)

Client: Public Sector

The purpose of this procurement is to engage a specialized Software Testing consultant who bring deep expertise across various testing areas and methodologies. The consultant will support the delivery of high-quality software solutions by contributing to validation and testing activities at different levels of project execution.

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
• 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.
• 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

Providing expert-level software testing services across multiple domains such as:

• Functional Testing
• Regression Testing
• Test Automation
• AI-enabled applications (LLM, chatbots, knowledge-base assistants)
• API Testing

Applying testing practices effectively within diverse development methodologies including:

• Agile
• Hybrid approaches

Supporting testing efforts across various platforms and environments, including:

• Cloud-based solutions

The consultant may be required to serve in leadership roles such as Quality Assurance Leads, where responsibilities extend beyond technical testing expertise to include:

• Test planning and strategy development
• Coordination of testing activities across teams and work packages
• Oversight of quality assurance deliverables
• Stakeholder communication and reporting

The selected consultant must demonstrate proven experience in software testing and testing of AI-enabled applications, adaptability to different project contexts, and the ability to contribute to the successful delivery of high-quality solutions.

• 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:

• 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.
• 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.
• 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.

We appreciate all interest; however, only candidates whose experience fully meets the posted requirements will be considered.

**AI is not being used in the application/recruitment process for this position**