Staff Software Development Engineer in Test

Location: Canada Secondary Locations: United States Workplace: RemoteFull-TimeStaff

SalaryCA$160K - CA$205K; CA$160K – CA$205K • Offers Equity • Offers Bonus • Multiple Ranges; CAD Tier 1: CA$167K – CA$205K • Offers Equity • Offers Bonus; CAD Tier 2: CA$160K – CA$197K • Offers Equity • Offers Bonus; USA: $168K – $219K • Offers Equity • Offers Bonus

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Job Details

Experience: 10+ years of experience across SWE, QA, SDET, or adjacent fields, at least 3 years at a senior+ level as a SWE or SDET
Required Skills: AWSNode.jsPythonKubernetesReactPlaywright

Requirements

10+ years of experience across SWE, QA, SDET, or adjacent fields, at least 3 years at a senior+ level as a SWE or SDET
AI-first thought & technical leadership: Prepared to lead and drive AI Transformation outcomes for QA
Deep test automation expertise: Thinks about quality as a platform problem
Strong full-stack coding, database, and infrastructure fundamentals: Delivers solutions independently across the entire stack from the ground up
Strongly opinionated on automated measurements of Quality metrics: Which matter, what they mean, how they're collected
Work with extreme initiative & autonomy: Identifying, delivering, measuring, and communicating staff-level initiatives
Staff-level communication and cross-functional influence

Responsibilities

Define and drive the AI Enablement strategy for QA, taking the initiative, owning projects that scale, and introducing new capabilities to both QA and Engineering
Architect, build, and improve existing quality automation frameworks such as our current Playwright stack. Identify opportunities and roadmap the future of our automation
Own the automated collection of QA metrics and operationalize the data to drive business outcomes. Identify and attribute trends in quality data and socialize learnings
Lean in directly with our most critical projects to provide urgent, net-new, or enhanced automated coverage, particularly in domains that currently have gaps today
Contribute to coding standards and software engineering best practices, improving the quality of code written by both people and AI agents at scale
Facilitate the expansion of the QA team's capabilities into new domains, such as data, performance, and stability
Own and improve the quality-related components of our release process, taking direct responsibility for the QA CI Strategy. Specifically, contribute to improved Cycle Time and Deployment rate without compromising quality metrics
Mentor our QAs towards increasingly AI-enabled and automation-first ways of working

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