Senior Manual QA

Responsibilities:

Create and maintain manual test plans, cases, and checklists covering functional, smoke, exploratory, and regression scenarios across iOS, Android, Web, and backend APIs.
Plan and execute release-cycle smoke/regression suites; prioritize tests to match a fast cadence of 2–3 features per week and react quickly to change.
Validate platform flows and business logic (payments, deep links, A/B tests, monetization, levels, content) across environments.
Investigate issues using logs/monitoring and traffic interception; provide clear repro steps, expected/actual results, and severity.
Maintain test assets and coverage in a test-management system; ensure crisp bug lifecycles and prioritization in the bug tracker.
Collaborate with product and engineering to define acceptance criteria, surface risks early, and mentor (or lead) a small QA group.
Identify high-ROI candidates for future automation and partner with developers on approach.

Required Skills:

4+ years of manual QA experience in mobile or web products; startup-ready and self-directed (proactively finds risks and gaps without waiting for perfectly specified tasks).
Strong QA fundamentals: defect lifecycle, risk-based testing, boundary/value analysis, exploratory heuristics.
Solid understanding of HTTP fundamentals (requests/responses, headers, cookies, tokens) and API testing tools (Postman, cURL, Swagger/OpenAPI).
Practical experience with test management (Qase or TestRail) and bug tracking (Jira).
Ability to work with logs/observability (e.g., Sentry) for faster root-cause isolation.
Proficiency with network debugging proxies (Fiddler or Charles) to capture and analyze traffic.
Understanding of mobile deep linking (iOS/Android), payment flows, and A/B testing mechanics.
Demonstrated ability to prioritize and adapt quickly in a high-velocity release environment.

Optional Skills:

Experience with UI automation frameworks (Playwright, Appium, Detox) or willingness to learn.
Familiarity with performance, load, or security testing.
Background in AI-driven products and/or messaging apps.