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Added 1 min ago
Human Resource Manager-Critical Environments
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Partner with leadership on workforce planning, organizational design, and employee development
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KI
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Standard BioTools

Software Quality Engineering Lead

Markham, ON, Canada

$98,000.00-$140,000.00 · Full-time

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Job details

Pay: $98,000.00-$140,000.00
Job type: Full-time
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 29, 2026

Original job description

Would you like to join an innovative team driven by a bold vision – unleashing tools to accelerate breakthroughs in human health?

The Software Test Lead leads software verification activities to ensure products meet defined requirements and quality expectations. The role combines test planning, hands-on execution, defect investigation, and coordination with development and cross-functional teams.
A key responsibility is to actively evaluate, adopt, and integrate company-approved AI tools that streamline verification, expand test coverage, reduce repetitive work, and improve the clarity and consistency of test documentation. The Software Test Lead remains accountable for the accuracy, traceability, and reliability of verification results.

Here's a potential JD

Software Quality Engineering Lead

Position summary

A key responsibility is to actively evaluate, adopt, and integrate company-approved AI tools that streamline verification, expand test coverage, reduce repetitive work, and improve the clarity and consistency of test documentation. The Software Test Lead remains accountable for the accuracy, traceability, and reliability of verification results.

Key responsibilities

Software verification and test leadership

Lead verification planning, prioritization, and execution across assigned software releases.
Translate requirements and acceptance criteria into test plans, test cases, and documented verification evidence.
Perform and coordinate functional, integration, system, and regression testing, as applicable.
Identify, document, investigate, and track defects; collaborate with developers to confirm fixes and assess potential impact.
Maintain traceability between requirements, test coverage, defects, and results.
Communicate verification progress, quality risks, and readiness recommendations to project stakeholders.
Guide team members in testing practices and promote consistent, repeatable verification methods.

AI adoption and workflow improvement

Proactively identify and evaluate available AI tools for their suitability in software verification, using company-approved tools and following applicable data-handling requirements.
Integrate AI into appropriate activities, including test design, test-data preparation, automation development, log analysis, defect investigation, and documentation.
Review and validate AI-generated outputs before incorporating them into test assets, conclusions, or release evidence.
Expand automated and AI-assisted testing while applying human judgment to exploratory testing, risk assessment, and final verification decisions.
Measure improvements in testing efficiency, coverage, repeatability, and defect detection.
Document effective practices, share lessons learned, and support team adoption of useful AI capabilities.

Collaboration and continuous improvement

Work with development, product, and other stakeholders to clarify requirements and resolve verification issues.
Identify opportunities to improve test environments, tools, processes, and reporting.
Maintain clear, reproducible records of testing activities and results.
Follow applicable company quality procedures and product-specific verification requirements.

Qualifications and capabilities

Experience in software testing, verification, defect management, and test documentation.
Demonstrated ability to lead testing activities and coordinate work across teams.
Strong analytical, troubleshooting, organizational, and communication skills.
Experience with test management and defect tracking tools.
Ability to develop or maintain automated tests and supporting scripts.
Ability and willingness to learn, evaluate, and adopt AI tools, including critically assessing their outputs and limitations.
Sound judgment in prioritizing verification work according to product risk and project needs.

Expected outcomes

Reliable, traceable verification evidence that supports informed release decisions.
Earlier identification and clear communication of defects and quality risks.
Broader, more repeatable test coverage and reduced manual effort.
Demonstrable improvements from AI adoption without compromising verification quality.

The Company is committed to providing an inclusive and barrier free recruitment process to applicants with accessibility needs in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act (AODA). If you require an accommodation during this process, please inform The Company of your requirements. We are an equal opportunity employer.

Range for Role:

$98,000.00-$140,000.00

All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

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More about this job

Responsibilities

The Software Quality Engineering Lead is responsible for planning and executing software verification activities to ensure products meet quality standards. They will also lead the integration of AI tools to improve testing efficiency, coverage, and documentation consistency.

Requirements

Candidates must have significant experience in software testing, defect management, and test leadership. Strong analytical skills and the ability to develop automated tests while adopting new AI-driven verification technologies are required.

Skills

Software verification
Test planning
Defect management
Test automation
AI tool integration
Test documentation
Functional testing
Regression testing
System testing
Analytical skills
Troubleshooting
Leadership
Communication skills
Requirement analysis
Quality assurance

Visa sponsorship

Not detected in the job text

Keywords

Software Quality Engineering
Verification
Test Planning
Defect Tracking
AI Tools
Automation
Regression Testing
Functional Testing
Integration Testing
Traceability
Quality Assurance
Test Documentation
Risk Assessment
Exploratory Testing
Test Management Tools
Data Analysis
Process Improvement
Stakeholder Communication
Human Health

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