Senior QA Automation Engineer - Enterprise Platforms & AI
At Paralucent · "Toronto", Ontario, Canada
- QA and testing
- Contract
- Senior
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Where you’ll work
Hybrid, based in Toronto
“"Toronto", Ontario, Canada”
From the location.
The job board lists it as hybrid.
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- Posted
- 10 hours ago
- First seen by us
- 10 November 2026
- Last checked
- 8 hours ago
Job description
From Paralucent’s job post, as they wrote it.
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.
Read the full description
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.
Senior QA Automation Engineer - Enterprise Platforms & AIParalucent
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