AI QE Engineer - Senior Associate

Responsibilities

• Developing innovative software solutions to drive digital transformation and enhance business performance
• Designing, coding, and testing applications to deliver exceptional user experiences
• Utilizing Acceptance Test Driven Development (ATDD) and Continuous Integration/Continuous Delivery (CI/CD) methodologies to improve software quality
• Managing and reviewing code to maintain coding standards and validate software reliability
• Collaborating with cross-functional teams to analyze business requirements and translate them into technical specifications
• Implementing application frameworks and lifecycle management practices to streamline development processes
• Engaging in debugging and troubleshooting to resolve software issues efficiently
• Leveraging programming languages such as Java, Python, and JavaScript to build scalable applications
• Applying object-oriented design principles to create robust software architectures
• Conducting quality assurance testing to validate software functionality and performance
• Building meaningful client connections and anticipating their needs to deliver tailored solutions
• Navigating complex situations and embracing change to foster personal and professional growth
• What You Must Have
• At least a Bachelor's degree
• At least 4 years of experience
• Oral and written proficiency in English required
• What Sets You Apart
• GitHub CoPilot, ChatGPT, Cursor, Claude, Gemini) for software testing, Prompt Engineering for QE
• Ability to develop and maintain automation with AI assistance (Playwright with MCP, Selenium with MCP Tosca, Karate, REST Assured). Experience in connecting to MCP server.
• TypeScript/JavaScript, Java or Python, AWS, Azure or GCP, Test Management(Jira, Azure DevOps, Xray, Zephyr or equivalent)
• Preference for at least one of the following fields of study: Artificial Intelligence, Business Analytics, Computer and Data Engineering, Computer Science, Human Computer Interaction, Industrial Engineering, Information Systems/Technology, Machine Learning, Management Information Systems, Software Engineering
• Utilizing Acceptance Test Driven Development (ATDD) methodologies
• Developing applications using Java, Python, and JavaScript
• Managing API integrations and microservices architecture
• Excelling in client management and business requirements analysis
• Navigating complex software development projects with agility
• Demonstrating proficiency in software testing and quality assurance