Responsibilities
- Lead the creation and execution of comprehensive test strategies for native iOS and Android mobile applications
- Develop scalable approaches to manage device and operating system fragmentation while minimizing test instability
- Ensure robust integration between backend services, APIs, contracts, and mobile clients
- Manage quality checkpoints within app release and deployment pipelines across teams
- Collaborate with developers early in the development cycle to improve testability and embed quality practices
- Guide and grow senior test engineers through mentorship and hands-on technical leadership
- Facilitate knowledge transfer across QA and development teams via workshops, pair programming, and shared resources
- Partner with engineering leadership to shape long-term quality vision and strategy within the domain
- Analyze quality metrics to detect trends and recommend targeted improvements
- Establish clear quality benchmarks and communicate associated business risks to stakeholders
- Determine the strategic integration of artificial intelligence in testing processes
- Design workflows that incorporate AI assistance while maintaining governance and security standards
- Evaluate both the benefits and risks of using AI in test environments, including production-facing scenarios
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid or remote options available
Team
Part of a cross-functional engineering organization with strong QA and development collaboration
Responsibilities
- 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
- 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
- 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
Available for qualified candidates
