QA Engineer

### Senior QA Engineer (TradeZella product) We're looking for a **QA Engineer** who cares about product quality end-to-end, someone who gets trading through real experience, professional or personal. Trading doesn't need to be your career; a hobby or a past chapter counts, but long-term investing alone doesn't. You'll join [TradeZella](https://www.tradezella.com/) , our trading journaling and educational platform, and focus on how the product works in real conditions: testing functionality, investigating edge cases, and resolving complex issues together with engineering, product, and support teams. This role requires a genuine interest in the trading domain, along with strong UX testing skills. ### **What are we looking for?** **Testing & QA expertise:** * Strong experience with manual testing and end-to-end validation * Solid UX testing skills beyond formal requirements (user acceptance testing, business acceptance testing, usability validation) * **Hands-on day trading experience** (any market: stocks, forex, futures, crypto), past or present, professional or personal, with the ability to walk us through at least one strategy you've traded * Experience in investigating customer issues and performing root cause analysis * Experience in building and improving QA processes **Technical skills:** * Strong debugging and problem-solving skills, including log analysis (CloudWatch, Logs Explorer) * Good understanding of networks, HTTP, APIs, and web/client architectures * Experience with version control systems (GitHub, GitLab, etc.) * Experience using AI tools for workflow optimization **Communication & mindset:** * Ability to translate technical concepts for different audiences (engineering ↔ non-technical) * Strong sense of ownership and accountability * Structured, detail-oriented approach * Fluent English (written and spoken) **Would be a plus:** * Experience with Playwright (TypeScript) ### **Your responsibilities** * Analyze requirements, test functionality, and identify defects, confusions, and edge cases * Own investigation of complex customer issues through L3 support, driving root cause resolution * Partner with engineering and product to resolve issues and improve system reliability * Improve QA practices and elevate debugging and investigation standards, including AI adoption practices * Support releases and ensure stable rollouts with active post-release follow-up * Support and extend existing AI agents and skills to make the QA process more efficient Originally posted on [Himalayas](https://himalayas.app)