The opportunity
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What you'll do
Own the technical strategy for mobile QA infrastructure across the native: rewrite, operating at depth across the team's codebases and designing operational practices that lower maintenance and operational overhead while raising release quality.
Build and scale automated test systems for recurring regression testing.: Before asking for additional headcount, you set and refine what gets automated versus what stays human across regression, performance validation, and release readiness gating.
Lead the QA readiness workstream for the phased rollout, driving clarity: across success metrics, resourcing, and operations.
Guide when to invest more testing resources and when to pull back as quality gains diminish.
Partner cross-functionally with engineering leadership, product, and design: to define SLOs and quality dashboards that provide the metric-driven controls for rollout speed decisions.
Shape the QA onboarding playbook for product teams transitioning to native,: setting the team's hiring bar for QA contributors and mentoring L3-L5 engineers on test architecture, native debugging, and quality standards.
What they're looking for
- + years of software engineering experience with deep expertise in mobile test: infrastructure, including architecting automated regression systems for native iOS and Android at scale.
- Track record of defining and delivering test infrastructure strategy that other engineering teams depend on.
- Strong proficiency in Swift and Kotlin with the ability to architect test: frameworks, debug native app behavior, and enforce compile-time quality constraints, maintaining standards even in the face of pressure to ship.
- Experience operating QA processes during large-scale migrations or platform: transitions, including managing dual-codebase parity validation, phased rollout quality gates, and leading SEVs and postmortems that improve team practices.