We're looking for a Staff Software Engineer in Test to raise the quality bar across our mobile app and backend domain - not by writing more tests, but by changing how the whole domain thinks about quality. This is a hands-on technical leadership role at the intersection of QA and mobile development, driving a native-first testing strategy and a culture where developers own quality rather than hand it off. Your scope of work will cover 3 areas. I. Test strategy & native automation Design and own the test strategy across mobile teams for native iOS (Swift/SwiftUI) and Android (Kotlin) apps. Set strategy for device and OS-version fragmentation coverage and drive flakiness control at scale , running suites on BrowserStack with GitLab CI . Keep the backend/API/contract layer strong and connect it to the mobile client layer. Own quality gates inside app release and store-deployment pipelines, and drive resolution of quality issues that cross team boundaries within the domain. II. Coaching, culture & technical leadership Pair on testability, shift quality ownership left into the dev workflow, and be the person teams seek out before implementation starts. Mentor Senior Software Engineers in Test , accelerating real, visible growth, and provide technical guidance across the domain. Run knowledge-sharing across QA and Dev : tech talks, workshops, reusable documentation, pair sessions; co-lead the OneTech/QA community . Co-shape the domain's technical quality direction with the SEM , with full autonomy within the domain, and analyze quality trends from reports/metrics to identify improvement areas. Define quality metrics and gates and use them to frame quality risk in business terms for EMs, SEMs, and PMs. III. AI Governance in testing Define the AI adoption approach for quality engineering in the domain - which tools, which workflows. Design AI-assisted testing workflows and set governance and data-security standards across teams. Assess and manage the risk of AI usage in testing (including production-facing work), not just the productivity upside. Mentor engineers on responsible, effective AI use and report on AI ROI for quality engineering.
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Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed