More jobs:
Senior SDET: AI-Driven Mobile & Web QA Leader
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-05-29
Listing for:
Earnin
Full Time
position Listed on 2026-05-29
Job specializations:
-
Software Development
Software Testing, AI Engineer
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
- 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 ,
- Intelligent regression suite prioritization based on code changes ,
- Predictive defect detection and risk-based testing ,
- Flaky test detection and automated stabilization insights ,
- Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows ,
- Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles ,
- Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability ,
- Design, build, and scale robust automation frameworks using: ,
- XCUITest, Espresso, Appium (mobile automation) ,
- Playwright…
Position Requirements
10+ Years
work experience
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×