Quality Assurance Developer, Trilogy (Remote) - $60,000/year USD
Quality Assurance Developer, Trilogy (Remote) - $60,000/year USD
Focuses on building AI-driven test automation frameworks, using generative AI to analyze results, simulate user behaviors and stress conditions, and improve release quality.
Ready to revolutionize quality assurance with artificial intelligence? We're not looking for traditional QA engineers who follow the same old playbook—we need a visionary who sees AI as the ultimate testing companion. In this role, you'll pioneer intelligent testing frameworks that learn, adapt, and evolve alongside our products. Forget about mundane test maintenance; you'll harness the power of generative AI to simulate unpredictable user behaviors, create dynamic stress conditions, and uncover hidden bugs that conventional testing would never detect.
Unlike traditional QA teams that operate in isolation, you'll be integrated directly into our product development cycle. Imagine building AI systems that automatically generate comprehensive test plans from product requirements, creating a proactive quality shield rather than a reactive bug-catching net. This isn't about waiting for assignments—it's about engineering the future of quality assurance.
We're redefining what QA means through AI-powered quality analytics, intelligent failure simulations, and real-time coverage insights that directly influence release decisions. This role demands technical depth, innovative thinking, and comfort with rapid iteration. You won't just be finding bugs; you'll be architecting the intelligent systems that prevent them from occurring in the first place.
Join our cutting-edge, AI-first product team where your expertise in automation frameworks and your detective-like approach to code quality will be valued. If you're ready to transform QA through the strategic application of artificial intelligence, we want to hear from you!
What you will be doing
- Architect and evolve sophisticated AI-driven test automation frameworks that scale with our growing product ecosystem
- Leverage generative AI technologies to analyze test results, identify defect patterns, and deliver data-driven quality improvement recommendations
- Create AI models capable of simulating complex user behaviors, stress conditions, and edge cases to proactively identify potential product vulnerabilities
Key Responsibilities
- Safeguard product quality through innovative AI-powered automation strategies, comprehensive quality audits, and intelligent monitoring systems that ensure consistently exceptional releases
Candidate Requirements
- Minimum 2 years of professional experience in quality assurance engineering with demonstrated expertise in designing and implementing test automation frameworks
- Practical experience implementing or developing with generative AI tools in either development or quality assurance contexts
This position is also known as:
- QA Test Engineer
- Software Quality Assurance Engineer
- AI QA Engineer
- QA Automation Engineer