Preciselyinternationaljobs

Principal Technology Architect - QA

Canada · Principal

Sponsorship not specifiedDetected 29 days ago

GitCI/CDGrafanaDatadogLLMsIncident ResponseTest AutomationLeadership

About the role

You will put that into practice by bringing AI-driven testing, intelligent automation, and modern quality tooling into the way our teams work every day.
This is a hands-on architecture role, not a policy desk.
You will work closely with engineering leadership to connect quality strategy to business outcomes.

Set the quality architecture direction for the org: design quality gates, define reliability targets, and choose the testing infrastructure that all product segments build on.
Build and maintain a governance model for quality practices so that standards, processes, and tooling are adopted consistently across engineering teams.
Own the performance and resilience strategy: set performance budgets, define monitoring standards, and create disaster recovery and incident response frameworks.
Quality architecture: Deep expertise in test automation frameworks, CI/CD pipeline design, quality gate implementation, and testing strategies for large-scale SaaS platforms.

All employees are expected to demonstrate proficiency in applying AI tools to accelerate their work, improve output quality, and eliminate low-value tasks.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Equivalent work experience is accepted in place of a degree.
An advanced degree is a plus.

Open to continuously adopting new AI capabilities as they emerge and excited to shape how the org integrates them into quality practices.
Experience defining and scaling quality practices across multiple product segments in a large SaaS or cloud-native organization.
Familiarity with contract testing, chaos engineering, or advanced reliability practices (SLOs/SLIs, error budgets).
Bonus points for experience establishing quality centers of excellence or community-of-practice models across engineering organizations.
Exposure to security testing practices, compliance frameworks, or regulated industry quality standards.
Experience with observability and monitoring platforms (Datadog, Splunk, Grafana, PagerDuty) at an architectural level.

Partner with product and engineering leaders to balance release velocity with system health, making sure teams can ship fast without cutting corners on quality.
Design and deliver scalable test automation frameworks that teams can adopt and extend to improve coverage, speed, and confidence in every release.
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

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