Quality Assurance Engineer Job at MDOTM Ltd

Job Responsibility

Develop and execute comprehensive test plans, focusing on both the AI interface and internal tools
Design, maintain, and optimize automated test suites for frontend (UI/UX) and backend (API) components
Validate security implementations such as XSS/CSRF protections, secure authentication flows, and data encryption standards
Lead the adoption of QA best practices, from unit testing guidance to end-to-end (E2E) automation, in collaboration with technical leadership
Define acceptable quality gates and key metrics to measure software quality, ensuring a balance between high standards and delivery velocity
Identify, document, and track defects, working closely with developers to ensure timely resolution and prevent regressions
Conduct load and stress testing to ensure the scalability of our AI-driven solutions
Partner with Engineering and DevOps teams to integrate testing into the CI/CD pipeline and promote a quality-first culture

Bachelor’s or Master’s Degree in Computer Science, Engineering, or a related field
Proficiency with modern testing tools and advanced API testing
Strong understanding of TypeScript/JavaScript and familiarity with Java/Spring Boot backend environments
Expertise in testing secure authentication flows and ensuring compliance with standards
Mastery of Git and extensive experience with bug-tracking systems like Jira
Ability to drive the adoption of testing best practices across the development lifecycle, from unit testing frameworks to complex end-to-end (E2E) automation strategies
Capability in defining and implementing rigorous quality gates that balance high software standards with the need for continuous delivery and team velocity
Proficiency in establishing and monitoring technical KPIs and quality metrics to objectively evaluate and improve software reliability and performance
Excellent communication skills in English (written and spoken), with the ability to explain complex problems to different stakeholders

Hands-on experience with GitLab Pipelines or similar CI tools
Knowledge of SQL (MySQL) and NoSQL (MongoDB) to validate data integrity
Familiarity with Docker, Kubernetes, and testing applications hosted on AWS or on-premises
Experience with performance and load testing methodologies to ensure system stability under stress
Familiarity with ISO 27001:2022 / SOC 2 Type II or cybersecurity audit practices