We are an AI-first company, actively designing new development and QA processes that fully leverage the opportunities created by modern AI. We are looking for a driven, hands-on QA Lead to define, build, and champion the quality assurance strategy for our company.

• Design, implement, and continuously improve quality assurance processes and quality management systems (QMS)
• Define and maintain QA standards, methodologies, and best practices across projects
• Monitor and analyze quality metrics, defect trends, and process effectiveness to drive data-informed improvements
• Establish and track QA KPIs aligned with project goals and delivery timelines
• Contribute to configuration management and product versioning practices from a quality perspective
• Lead and manage the QA team, including workload planning, prioritization, and resource allocation
• Mentor and develop QA engineers, supporting skill growth and professional maturity
• Design and deliver internal training programs covering QA methodologies, tools, and domain-specific practices
• Support and guide the team in manual, API, and web testing activities
• Strengthen test automation practices to improve testing efficiency and reliability
• Apply analytical and statistical approaches to identify risks, reduce variability, and improve product stability
• Act as the main point of contact between the QA team and engineering, product, and other stakeholders
• Ensure transparent communication and alignment on quality expectations across teams
• Support investigation of quality-related issues, including defect analysis, root cause identification, and resolution
• Promote quality-driven decision-making throughout the product lifecycle

• 3+ years of experience as a QA Engineer, with strong expertise in web application testing
• 1+ years of experience in a leadership or senior role, including team coordination or mentoring
• Solid understanding of QA processes, testing methodologies, and SDLC
• Strong analytical mindset with the ability to interpret metrics and make data-driven decisions
• Excellent problem-solving skills and high attention to detail
• Proven ability to communicate effectively with both technical and non-technical stakeholders
• Excellent English (Upper-Intermediate+)

• Hands-on experience with test automation (API and/or web front-end testing)
• Knowledge of programming or scripting languages such as Python, JavaScript, or TypeScript
• Experience with CI/CD tools (e.g. Jenkins) and containerization tools (Docker)