Senior QA Automation Engineer - Enterprise Platforms & AI (PL4242)

Paralucent; Toronto; Sur place; CAD 90 000 - 140 000; Plein temps

Résumé du poste

Paralucent is seeking a Senior QA Automation Engineer to lead quality engineering for a complex enterprise workflow and case-management platform. You will build the automation strategy and ensure requirements are traced through functional, integration, end-to-end, performance, resilience, security, accessibility, RPA and AI/model testing.

The ideal candidate treats quality as a delivery system, not a final testing phase.

Qualifications

• 7+ years in quality engineering or test automation for enterprise applications.
• Strong experience automating UI, API, integration and end-to-end tests using modern frameworks.
• Experience with workflow/case management, complex integrations and regulated production releases.
• Experience in banking/financial services preferred; regulated-industry experience accepted.
• Practical knowledge of performance, accessibility, security, resilience and disaster-recovery testing.
• Experience with CI/CD quality gates, test-data management, defect analytics and traceability.
• Strong analytical and communication skills.

Responsabilités

• Create the test strategy, automation architecture, environment/data plan and quality gates for incremental releases.
• Translate acceptance criteria, controls and non-functional requirements into executable tests and evidence.
• Automate API, UI, workflow, document, integration and regression testing.
• Design end-to-end scenarios covering intake, classification, routing, information retrieval, approvals, exceptions, dispatch, closure and audit.
• Test failure handling, retries, reconciliation, unavailable systems, low-confidence AI results and manual fallback.
• Coordinate performance, resilience, disaster-recovery, accessibility and security testing with specialist teams.
• Lead AI-specific evaluation testing, including false positives/negatives, unsupported outputs, confidence thresholds and human overrides.
• Maintain requirements-to-test-to-evidence traceability and production-readiness reporting.
• Support UAT, defect triage, root-cause analysis, release decisions and post-production monitoring.
• Coach engineers on shift-left testing and testability.

Connaissances

QA automation

End-to-end testing

UI/API/Integration testing

Performance testing

Security testing

Resilience testing

CI/CD quality gates

Communication skills

Formation

ISTQB or comparable quality certification

Description du poste

Paralucent is seeking a Senior QA Automation Engineer to lead quality engineering for a complex enterprise workflow and case-management platform. You will build the automation strategy and ensure requirements are traced through functional, integration, end-to-end, performance, resilience, security, accessibility, RPA and AI/model testing.

The ideal candidate treats quality as a delivery system, not a final testing phase.

What You'll Do

• Create the test strategy, automation architecture, environment/data plan and quality gates for incremental releases.

• Translate acceptance criteria, controls and non-functional requirements into executable tests and evidence.

• Automate API, UI, workflow, document, integration and regression testing.

• Design end-to-end scenarios covering intake, classification, routing, information retrieval, approvals, exceptions, dispatch, closure and audit.

• Test failure handling, retries, reconciliation, unavailable systems, low-confidence AI results and manual fallback.

• Coordinate performance, resilience, disaster-recovery, accessibility and security testing with specialist teams.

• Lead AI-specific evaluation testing, including false positives/negatives, unsupported outputs, confidence thresholds and human overrides.

• Maintain requirements-to-test-to-evidence traceability and production-readiness reporting.

• Support UAT, defect triage, root-cause analysis, release decisions and post-production monitoring.

• Coach engineers on shift-left testing and testability.

What Success Looks Like

• Critical user journeys and controls have automated regression coverage.

• Defects are detected before UAT and production, with improving escape and rework trends.

• Every production release has complete, reviewable test evidence.

• Integration, RPA, AI and fallback scenarios are tested under realistic conditions.

• Quality reporting gives decision-makers a clear view of release risk.

• 7+ years in quality engineering or test automation for enterprise applications.

• Strong experience automating UI, API, integration and end-to-end tests using modern frameworks.

• Experience with workflow/case management, complex integrations and regulated production releases.

• Experience in banking/financial services preferred; regulated-industry experience accepted.

• Practical knowledge of performance, accessibility, security, resilience and disaster-recovery testing.

• Experience with CI/CD quality gates, test-data management, defect analytics and traceability.

• Strong analytical and communication skills.

Preferred Experience

• Experience testing OCR, AI/ML or human-in-the-loop recommendations.

• Experience testing RPA and legacy-system integrations.

• Experience with bilingual applications and WCAG validation.

• ISTQB or comparable quality certification.

Role Scorecard: Illustrative Measures

Final targets and cadence will be confirmed for the specific assignment. Typical measures include:

• Automated regression coverage

• Defect escape and severity trends

• Test execution reliability

• Requirements-to-evidence traceability

• Performance/resilience results

• UAT defect rate and turnaround

• Release-readiness evidence timeliness

How You Demonstrate Our Core Values

Driven: Moves important work forward, recovers quickly from blockers and focuses on meaningful outcomes.

Takes Ownership: Closes loops, communicates risks early and remains accountable across handoffs.

Creative Problem Solver: Clarifies the real problem and proposes practical options with trade-offs.

Humbly Confident: Brings sound judgment, explains reasoning and actively invites challenge and feedback.

Customer Centric: Understands operational reality, success measures and the impact of decisions on users and the institution.