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The ad doesn’t say — see the full posting.
The ad doesn’t say which hours. Ask the company.
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 , 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