Senior QA Engineer (TradeZella product)

We’re looking for a Senior 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 WE ARE LOOKING FOR?

Required skills

• 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)

As a plus🔸 Experience with Playwright (TypeScript)

Your responsibilities

• Analyze requirements, test functionality, and identify defects and edge casesOwn 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