Staff Software Engineer, Mobile QA

CryptoproNetwork; United States; On-site; USD 218,000 - 287,000; Full time

Job summary

CryptoproNetwork is seeking a Staff Software Engineer, Mobile QA to join the App Infra team. You will own the mobile QA infrastructure strategy for the native rewrite and drive automated regression systems across iOS and Android.

You will collaborate with engineering leadership, product, and design to set SLOs, build quality dashboards, and mentor L3-L5 engineers on test architecture and native debugging. The role emphasizes responsible AI use and scalable quality practices.

Qualifications

• 8+ years of software engineering with mobile QA infra experience.
• Proven track record defining mobile test infrastructure strategy.
• Experience building automated regression systems for iOS and Android at scale.
• Experience with migrations or platform transitions and parity validation.
• Ability to align cross-functional partners on quality standards and release criteria.
• Responsible use of AI to improve workflow while maintaining human oversight.

Responsibilities

• Own the technical strategy for mobile QA infrastructure across native rewrite, reducing maintenance while boosting release quality.
• Build and scale automated test systems for regression testing and determine automation scope.
• Lead QA readiness for phased rollout with metrics, resources, and operations.
• Decide when to invest in testing resources and when to pull back as gains diminish.
• Partner with engineering, product, and design to define SLOs and quality dashboards for rollout decisions.
• Shape QA onboarding and hiring bar, mentoring L3-L5 engineers on test architecture and quality standards.

Skills

Mobile QA strategy

Cross-team leadership

AI in QA

Release quality mindset

Education

Bachelor's degree in Computer Science or related field

Tools

Swift

Kotlin

Test automation frameworks

Regression testing systems

Job description

We\'re hiring a Staff Software Engineer, Mobile QA to join the App Infra team within the

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.

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.
• 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.
• Demonstrated ability to build alignment and secure commitment from cross-team and cross-functional partners on quality standards, testing strategy, and release criteria.
• Uses generative AI responsibly, maintaining human oversight to deliver business-ready outputs and measurable gains in workflow efficiency, cost, and quality.

Job#78559

Pay Transparency Notice:Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).

Annual base salary range (excluding equity and bonus):$218,025—$286,500 USD