[Hiring] QA Engineering Lead @Muse Group

Role Description

We’re looking for a QA Engineering Lead to raise the bar for quality across our web, mobile, and desktop products. This is a hands-on, high-impact role for someone who can build scalable test automation, turn quality into a measurable engineering discipline, and help teams ship with confidence. You’ll work across teams, influence engineering decisions, and build systems that make quality scale beyond the QA team.

Key responsibilities:

• You’ll own the quality engineering strategy across our web, mobile, and desktop products.
• Your goal is not to write more tests, but to build a system where effective tests are easy to create, trusted, and strong enough to gate releases.
• You’ll work across engineering teams to:
• Build and evolve automation platforms, frameworks, and standards.
• Establish quality metrics and use them to drive engineering decisions.
• Improve test effectiveness, reliability, and feedback speed.
• Coach QA/SDET engineers and developers across teams without formal authority.
• Build tooling that enables developers — and AI coding agents — to create and maintain effective tests.
• Partner with engineering leadership on release risk and quality trade-offs.

Qualifications

• Demonstrated impact: You have taken a team or organization from “tests exist but protect nothing” to automated testing that reliably gates releases — and can show the before/after in numbers: coverage, escaped defects, release cadence, flaky-test rate, or similar.
• Cross-platform automation: You have production experience across web, mobile, and desktop, with hands-on depth in at least two and architecture/review-level experience in the third.
• Web: Playwright or equivalent at scale; maintainable architecture, parallelization, and a systematic approach to flaky tests.
• Mobile: Maestro, Detox, Appium, or equivalent; release trains, staged rollouts, and reliable device/emulator CI.
• Desktop: native applications across Windows/macOS/Linux; visual regression; C++/Qt is a plus.
• Specific tools are less important than strong engineering fundamentals and the ability to choose the right approach.
• Quality & CI/CD: You treat quality as an engineering metric. You’ve established baselines, tracked meaningful trends, and validated that tests actually detect defects — through mutation testing or equivalent practices. You have operated large automated suites as real CI/CD gates, including required checks, branch protection, reliability, and feedback-speed trade-offs.
• AI-assisted engineering: You have hands-on experience with AI-assisted coding and test generation (e.g. Claude Code, Cursor, or similar) and a clear point of view on when generated tests provide real protection versus simply inflating coverage.
• Leadership: You grow engineers without needing line authority. You can point to people who became stronger automation engineers through your coaching. You can defend quality decisions with data and trade-offs, including knowing when to stop a release and when the risk is acceptable.
• English: Upper-Intermediate.

Company Description