Activehours provides a mobile app that lets hourly, gig, and salaried workers track earned hours and access accrued wages before payday via bank-linked cash advances without credit checks.
<div class="content-intro"><h3><strong>About EarnIn</strong></h3> <p>As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks.</p> <p>We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey.</p> <div id="fortidlp-input-element-parent"></div></div><div><strong>POSITION SUMMARY </strong></div> <div> </div> <div>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.</div> <div> </div> <div>This is a hybrid position in Mountain View (Headquarters) and will require in-office work 2 days a week. The base salary range for this full-time position is $210,000 to $257,000, plus equity and benefits. Our salary ranges are determined by role, level, and location. EarnIn provides excellent benefits for our employees, including healthcare, internet/cell phone reimbursement, and a learning and development stipend. </div> <div> <h3><strong>Quality Engineering & Test</strong></h3> <p>Own end-to-end quality across <strong>iOS and Android applications</strong> and their supporting backend services, ensuring high confidence in weekly (or faster) releases.</p> <p>Design and implement comprehensive test strategies covering:</p> <ul> <li>Native mobile applications (iOS & Android)</li> <li>Mobile-to-backend integrations (REST APIs, auth flows, event-driven systems)</li> <li>Microservices and distributed systems</li> <li>Critical web workflows that intersect with mobile journeys</li> <li>Device, OS, browser, and network variability</li> <li>App lifecycle events, offline behavior, retries, and edge cases</li> </ul> <p>Ensure critical user journeys are validated across <strong>mobile UI → API → backend → web touchpoints</strong>, preventing production escapes in high-impact flows.</p> <p>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.</p> <p>Drive improvements in testability by introducing better logging, API contracts, observability hooks, feature flags, and deterministic state management.</p> <p>Establish meaningful quality metrics (crash analytics, defect trends, flaky tests, API reliability, release risk scoring) and surface actionable insights to engineering stakeholders.</p> <p>Champion shift-left quality by influencing design reviews, API schema discussions, and acceptance criteria early in development.</p> <h3><strong>AI-Driven Quality and Automation</strong></h3> <p>Leverage AI to enhance mobile, backend, and web testing effectiveness, including:</p> <ul> <li>AI-assisted test case and test data generation</li> <li>Intelligent regression suite prioritization based on code changes</li> <li>Predictive defect detection and risk-based testing</li> <li>Flaky test detection and automated stabilization insights</li> </ul> <p>Integrate AI-powered log intelligence, crash clustering, and anomaly detection into quality workflows.</p> <p>Continuously evaluate and experiment with AI-driven QA tools to increase coverage, reduce maintenance overhead, and accelerate release cycles.</p> <p>Contribute to building an AI-augmented quality ecosystem that improves speed without compromising reliability.</p> <h3><strong>Automation Excellence</strong></h3> <p>Design, build, and scale robust automation frameworks using:</p> <ul> <li><strong>XCUITest, Espresso, Appium</strong> (mobile automation)</li> <li><strong>Playwright</strong> (web and mobile web validation)</li> <li><strong>REST Assured or similar tools</strong> for API and service validation<br><br></li> </ul> <p>Ensure frameworks are modular, maintainable, and optimized for scale across multiple teams.</p> <p>Integrate automated validation into CI/CD pipelines (Jenkins, GitHub Actions, etc.) to enable:</p> <ul> <li>Pre-merge quality gates</li> <li>Parallelized execution</li> <li>Environment-aware test runs</li> <li>Post-deployment smoke and regression coverage<br><br></li> </ul> <p>Build developer-friendly tooling that enables:</p> <ul> <li>Self-service test execution</li> <li>Real-time reporting and dashboards</li> <li>Faster debugging and failure triage</li> <li>Scalable test data and environment management<br><br></li> </ul> <p>Continuously reduce flakiness, improve signal quality, and optimize execution time across mobile and backend suites.</p> <h3><strong>Performance, Scalability & Reliability</strong></h3> <p>Design and execute performance validation across:</p> <ul> <li>Mobile app startup time and responsiveness</li> <li>API latency, throughput, and reliability</li> <li>Backend load and stress conditions</li> <li>Web performance for critical flows<br><br></li> </ul> <p>Partner with engineering teams to analyze production logs, crash reports, browser telemetry, and service metrics.</p> <p>Lead root-cause analysis of complex cross-layer defect