QA Technical Lead

Patrianna is a fast-scaling product development company headquartered in Gibraltar, operating at the intersection of technology and entertainment. The company builds innovative solutions shaping the future of social gaming and delivers experiences to millions of players worldwide. The engineering culture is AI-driven, embedding artificial intelligence into workflows such as system design, testing, and code review.

• 5+ years of experience in Quality Assurance
• 3+ years as a QA Lead
• Ability to methodically solve business and technical problems
• Hands-on experience with browser-based debugging, responsive testing, and frontend QA practices
• Knowledge and experience in measuring coverage and efficiency of testing
• Good understanding of software testing theory and methodologies
• Strong test analysis, preparation, and planning skills
• Knowledge and skills in requirements testing with AI-supported analysis
• Strong knowledge of different Testing Methods, Test Design Techniques, and Types leveraging AI capabilities
• Experience with technical specifications, test design documents supported by AI tools
• Experience with task management systems (e.g. Jira)
• Experience with test case management software (Testmo, TestRail)
• Strong understanding of client-server architecture
• Knowledge of SQL
• Experience with Sentry, Kibana, Grafana
• Ability to determine, prioritize and estimate testing scope
• Ability to manage multiple complex and cross-team tasks while maintaining high quality
• Strong critical thinking
• Excellent communication skills (written and verbal)
• Experience in gaming/gambling domain
• Strong communication and leadership skills
• Proactive approach to identifying and mitigating quality and delivery risks
• Strong sense of ownership from planning to completion

• Planning, estimation and risk analysis of QA activities
• Organization and prioritization of QA tasks
• Requirements and specifications testing with AI-supported validation
• Test cases, suites and checklists design and review leveraging AI capabilities
• Configuration of test suites runs
• Bug reporting and test results analysis
• Test execution control and QA-related technical debt management
• Creation and maintenance of QA artifacts and documentation supported by AI tools
• Handling production incidents, monitoring and troubleshooting with intelligent log analysis
• Setting up and analysis of QA metrics
• Optimizing quality standards and processes in a team
• Interviewing QA candidates, QA mentoring and training
• Researching QA tools and technologies, including AI-driven solutions
• Coordination with the Automation team
• Cross-team communication and troubleshooting dependencies