QA Automation Engineer

Role: Quality Engineer focused on AI-driven testing and validation of web and mobile applications within a fast-paced environment. Responsibilities: own end-to-end quality, develop AI-assisted test strategies, create and maintain UI/API automation, leverage AI agents for exploratory and visual testing, validate backend workflows, and utilize AI for defect triage and system insights. Technologies: containerized infrastructure (Docker, Kubernetes), programming in Python, Java, or JavaScript/TypeScript, AI/LLMs integration, and CI/CD pipelines. Qualifications: 3-5 years QA experience, 2+ years test automation (web/mobile/API), 1+ year working with Docker/Kubernetes, bachelor’s in CS or related field. Preferred: experience with AI-enabled testing tools, visual validation with Figma, and AI integration for automation and failure analysis. High-Value: focus on intelligent risk detection, AI-first workflows, containerized environments, and cross-functional collaboration across development and QA teams. Work setup: not specified.