Job details
Location: Remote
Job Type: Contract (Potential Long-Term)
Salary: Negotiable
Job Summary
Arclly, a Personal Life Intelligence platform that helps people capture experiences, understand their lives, and preserve their stories, is seeking a technically strong, hands-on QA Lead to oversee product testing, test automation, defect management, and release readiness across its mobile application, backend services, and AI-powered experiences.
Job Description
Lead QA execution, maintain test coverage, assign responsibilities, and personally test critical product journeys.
Coordinate functional, exploratory, API, end-to-end, and regression testing.
Document defects with evidence, track resolutions, verify fixes, and escalate unresolved launch risks.
Test AI-powered features for accuracy, relevance, hallucinations, privacy, safety, and age-appropriate behaviour.
Develop and maintain automated regression tests and integrate testing into GitHub CI/CD.
Investigate application logs, API failures, database integrity, and integration issues.
Coordinate performance, load, failure-recovery, and mobile reliability testing.
Lead release regression and production smoke testing, including App Store purchases, subscriptions, upgrades, downgrades, and restores.
Provide evidence-based Go/No-Go release recommendations.
Prepare weekly QA reports covering test results, critical defects, blockers, resolution timelines, and release risks.
Requirements
At least 3 years of software QA experience and 2 years coordinating QA delivery or testers.
Experience testing iOS and Android applications; Flutter experience is preferred.
Strong knowledge of API, integration, regression, and defect management testing.
Experience with Postman and automation frameworks such as Maestro, Appium, or Playwright.
At least 2 years of hands-on experience writing automated tests or application code using Python, JavaScript/TypeScript, Dart, or a comparable language.
Familiarity with GitHub, CI/CD, application logs, REST APIs, SQL, and client-server data flows.
Experience testing subscriptions, role-based access, data privacy, third-party integrations, and complex consumer journeys.
Strong technical judgment, ownership, written communication, and collaboration skills.
Preferred Qualifications
Experience with AI/LLM evaluation, hallucination testing, and AI safety.
Familiarity with RevenueCat, Stripe, and Apple App Store release workflows.
Experience with performance testing tools such as k6 or JMeter.
Knowledge of accessibility testing and secure handling of sensitive user data.
Flutter/Dart familiarity, backend development exposure, or contributions to CI/CD and test infrastructure.
First 60 Days: Expected Outcomes
Days 1–30: Audit QA coverage and blockers, personally execute high-risk tests, establish accountable defect triage, and deliver credible weekly reports.
Days 31–60: Strengthen critical-path regression and automation, verify fixes and release risks, and provide an evidence-based release readiness recommendation.