Staff Software Engineer, Mobile QA

About the Role

Coinbase is hiring a Staff Software Engineer, Mobile QA to join the App Infra team within the Consumer & Business group. The team is leading the greenfield native rewrite of Coinbase's retail mobile app in Swift and Kotlin, replacing the existing React Native codebase. You will set Coinbase's frontend quality bar, translating org-level strategy into test infrastructure and operational practices used by ~30 product teams.

*Note: Coinbase is remote-first, but teams gather quarterly for in-person working sessions called "surges."*

What You'll Do

• Own the technical strategy for mobile QA infrastructure across the native rewrite, operating across codebases to lower maintenance overhead while raising release quality.
• Build and scale automated test systems for recurring regression testing, setting what gets automated versus manual 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.
• Partner cross-functionally with engineering leadership, product, and design to define SLOs and quality dashboards that provide metric-driven controls for rollout speed decisions.
• Shape the QA onboarding playbook for product teams transitioning to native, setting the hiring bar for QA contributors and mentoring L3–L5 engineers on test architecture, native debugging, and quality standards.

Required Skills and Experience

• 8+ years of software engineering experience with deep expertise in mobile test infrastructure, including architecting automated regression systems for native iOS and Android at scale.
• Proven track record of defining and delivering test infrastructure strategy relied on by other engineering teams.
• Strong proficiency in Swift and Kotlin with the ability to architect test frameworks, debug native app behavior, and enforce compile-time quality constraints.
• Experience managing QA processes during large-scale migrations or platform transitions (dual-codebase parity validation, phased rollout gates, leading SEVs and postmortems).
• Demonstrated ability to build alignment and secure commitment from cross-functional partners on quality standards and release criteria.
• Responsible use of generative AI with human oversight to deliver business-ready outputs and measurable gains in workflow efficiency and quality.

Application Rules

• Candidates may submit a maximum of 3 applications within a 6-month period.