What if your automation code was the last line of defense before a feature reached a billion devices? This role sits at the convergence of engineering rigor and product quality across Apple's iOS and macOS platforms - where the frameworks you build determine whether releases ship with confidence or not. The team operates end-to-end across the SDLC, and the bar for what 'good' looks like here resets what you thought quality engineering could be.
Description
You'll architect and own test automation frameworks that run inside live CI/CD pipelines, catching regressions before they ever reach a human reviewer. Every sprint, you'll work shoulder-to-shoulder with software engineers and product managers who expect quality to be a design input, not an afterthought. The tools you write will compress release cycles, the gaps you find will shape roadmap decisions, and the standards you set will outlast any single product cycle.
Minimum Qualifications
3+ years of hands-on experience in SDET, QA automation, or software engineering with a testing focus
Bachelor's degree in Computer Science, Software Engineering, or we may consider an equivalent depth demonstrated through industry work
Advanced proficiency in Python and Swift, specifically for building automated test frameworks and test tooling - not just scripting
Practical command of the full SDLC with clear experience embedding quality gates at multiple phases, from design review through release
Proven track record designing and executing multi-layered test strategies spanning functional, integration, regression, and exploratory methodologies
Direct experience building UI automation with XCUITest or XUI frameworks against real Apple platform targets
Demonstrated ability to integrate automated test suites into CI/CD pipelines and maintain them as living infrastructure
Preferred Qualifications
Shipped quality automation across both iOS and macOS across multiple full release cycles - not just one platform or one cycle
Applied LLMs or GenAI tooling to test generation, failure analysis, or coverage gap identification in a real engineering workflow
Built prompt engineering techniques into QA or developer tooling that measurably improved output quality or throughput
Drove infrastructure improvements - framework refactors, pipeline optimizations, coverage initiatives - with documented impact on defect escape rates or release velocity
Extended automation scope beyond functional testing into performance, accessibility, or localization validation
Familiarity with photo and video editing applications or media-processing workflows, including experience testing or validating complex media-related features.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
- Dice Id: 90733111
- Position Id: a4ac0e5a38bc666140c07bd6045e97fd
- Posted 21 hours ago
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