Lead Quality Engineer – Automation & AI Innovation - Onsite - Boston, MA - JOBID712

We are seeking a forward-thinking Quality Engineer who can lead end-to-end test automation across mobile and web platforms while embedding AI-driven capabilities into the testing lifecycle. This role focuses on building scalable automation frameworks, integrating continuous testing into CI/CD, and leveraging AI to enhance test coverage, speed, and defect detection. The ideal candidate brings a strong automation background along with a mindset of innovation, continuously optimizing quality engineRole OverviewWe’re looking for a Quality Engineer whocan own end-to-end test automation across mobile and web platforms,while leveraging AI tools to boost speed, coverage, and insight. Thisrole goes beyond traditional QA—expect to design smart, scalable automation andcontinuously optimize testing using AI.Key ResponsibilitiesDesign, build, and maintain robust automation frameworks for:Mobile apps (iOS & Android)Web applications (cross-browser)Develop and execute automated test suites (UI, API, integration, regression)Integrate automation into CI/CD pipelines for continuous testingLeverage AI tools to:Auto-generate test cases/scriptsPerform visual regression and anomaly detectionAnalyze logs, failures, and flaky testsCollaborate with product, engineering, and DevOps teams to ensure quality at every stageIdentify gaps in test coverage and proactively improve quality metricsMonitor production issues using observability tools and feed insights back into test strategyDrive shift-left and shift-right testing practicesRequired Skills & Experience4+ years in QA/QE with strong automation focusHands-on experience with:Mobile automation: Appium, XCUITest, EspressoWeb automation: Selenium, Playwright, CypressProficiency in at least one programming language (Java, JavaScript/TypeScript, Python)Experience with API testing using tools like Postman, RestAssuredStrong understanding of CI/CD tools (Jenkins, GitHub Actions, GitLab CI)Familiarity with cloud-based testing platforms (BrowserStack)AI & Modern QE ExpectationsExperience using AI-powered tools for:Test generation (e.g., generative AI assistants)Self-healing automationIntelligent test selectionAbility to integrate AI into QE workflows to:Reduce manual effortImprove defect predictionOptimize execution timeMindset of continuous experimentation with emerging AI tools in testingNice to HaveExperience with performance testingExposure to microservices architecture and contract testingExperience with observability tools (New Relic,Scalyr)Prior experience in Agile/Scrum environments