As a key member of our technology team, you will play a crucial role in shaping the quality of our software solutions. Your expertise in software test engineering and leadership will be essential in driving the development of robust test automation frameworks, ensuring that our products meet the highest standards of quality. Key Responsibilities - Develop and implement comprehensive test strategies to ensure the integrity and reliability of our software applications; - Evaluate and refine model validation criteria to guarantee accuracy and precision in our decision-making processes; - Design and lead the automation of QA processes, leveraging your knowledge of scalable solutions for data ingestion, extraction, and classification; - Collaborate with cross-functional teams to validate integration points between AI components and business logic, identifying potential risks and opportunities for improvement; - Own and maintain the test infrastructure, including CI/CD quality gates, data generation, and automated validation scripts, to ensure seamless operation and efficient delivery; - Establish and track key quality metrics aligned with business objectives, including turnaround time, confidence scores, and user corrections, to drive continuous improvement; - Advocate for quality as a strategic partner to Product and Engineering teams, influencing design and delivery from inception to deployment; - Stay up-to-date with the latest advancements in AI technologies and explore innovative ways to apply them to solve complex challenges for our customers; - Take ownership of code quality through exploratory and automated testing, ensuring that our software meets the highest standards of excellence. Requirements - Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience; - 2–3 years of experience in software test engineering, including leadership responsibilities, with a proven track record of success; - Hands-on experience with AQA JavaScript, along with solid knowledge of the software development life cycle (SDLC), Agile methodologies, and QA/QE best practices; - Proven ability to build and scale test automation frameworks using tools like Pytest, Cypress, Selenium, and Postman, with strong technical skills in working with REST APIs, data pipelines, backend services, and cloud platforms such as AWS and Azure; - Exceptional attention to detail and a mindset for building robust systems that catch issues early and protect the user experience, with the ability to learn quickly and adapt to new technologies and processes; - Upper-Intermediate English language proficiency.