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Senior SDET: AI-Driven Mobile & Web QA Leader

Job in San Francisco, San Francisco County, California, 94199, USA
Listing for: Earnin
Full Time position
Listed on 2026-05-29
Job specializations:
  • Software Development
    Software Testing, AI Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below

Requirements

  • 4+ years of experience in web and mobile testing, with a strong emphasis on test automation
  • ,
  • Proven expertise in designing and maintaining scalable test automation frameworks
  • ,
  • Hands-on experience with mobile testing frameworks such as XCUITest (iOS) and Espresso (Android), and web frameworks like Playwright
  • ,
  • Strong understanding of testing across microservices, APIs, and distributed systems
  • ,
  • Ability to analyze and debug complex test failures, automation issues, and defects efficiently
  • ,
  • Familiarity with generative AI applications in quality engineering (test case generation, API contract validation, log intelligence, etc.)
  • ,
  • Passion for leveraging AI to reduce manual effort, increase coverage, and accelerate release cycles
  • ,
  • Proven experience supporting weekly release cycles with a mix of manual and automated regression testing
  • ,
  • Strong analytical, debugging, and problem-solving skills
  • ,
  • Experience using or implementing AI/ML-powered testing tools is a significant plus
  • ,
  • Experience collaborating with global teams across multiple time zones
  • ,
  • BS in Computer Science, Computer Engineering, or equivalent professional experience
  • ,
  • (Desirable) Experience supporting mobile app store release processes (App Store / Play Store), release candidate validation, phased rollouts, and post-release monitoring
  • ,
  • (Desirable) Familiarity with crash reporting tools, release health dashboards, and rollback strategies
What the job involves
  • We are looking for a highly skilled Senior Software Quality Engineer (SDET) to lead our end-to-end quality engineering initiatives across mobile, web, backend, and data platforms
  • ,
  • This role combines deep technical expertise with a forward-thinking, AI-first mindset, driving innovation, scalability, and reliability through advanced automation and intelligent testing strategies
  • ,
  • As a senior member of the team, you will champion modern, AI-enhanced quality practices and help build a culture where continuous improvement, automation-first thinking, and data-driven decisions are embedded at every stage of product development
  • ,
  • Own end-to-end quality across iOS and Android applications and their supporting backend services, ensuring high confidence in weekly (or faster) releases
  • ,
  • Design and implement comprehensive test strategies covering:
  • ,
  • Native mobile applications (iOS & Android)
  • ,
  • Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)
  • ,
  • Microservices and distributed systems
  • ,
  • Critical web workflows that intersect with mobile journeys
  • ,
  • Device, OS, browser, and network variability
  • ,
  • App lifecycle events, offline behavior, retries, and edge cases
  • ,
  • Ensure critical user journeys are validated across mobile UI → API → backend → web touchpoints, preventing production escapes in high-impact flows
  • ,
  • Partner with engineering teams to embed quality gates into the mobile release lifecycle, including pre-merge validation, release candidate verification, and post-deploy smoke testing
  • ,
  • Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management
  • ,
  • Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders
  • ,
  • Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development
  • ,
  • Leverage AI to enhance mobile, backend, and web testing effectiveness, including:
  • ,
  • AI-assisted test case and test data generation
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  • Intelligent regression suite prioritization based on code changes
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  • Predictive defect detection and risk-based testing
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  • Flaky test detection and automated stabilization insights
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  • Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows
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  • Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles
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  • Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability
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  • Design, build, and scale robust automation frameworks using:
  • ,
  • XCUITest, Espresso, Appium (mobile automation)
  • ,
  • Playwright…
Position Requirements
10+ Years work experience
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