QA Engineer

Job Summary

Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities. We strive to create an inclusive environment where everyone feels welcome to be who they are-with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody's is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action-enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Skills and Competencies

• Strong programming and test automation experience using Python, with hands-on expertise in Robot Framework or similar automation frameworks.
• Practical experience testing AI/ML and AI-enabled applications, including model outputs, APIs, backend services, and application integrations.
• Strong knowledge of QA methodologies, test automation strategies, API testing, and software quality engineering best practices within Agile/Scrum environments.
• Experience with AWS, Microsoft Azure, or Google Cloud Platform (GCP) and testing cloud-native or microservices-based applications.
• Experience integrating automated tests into CI/CD pipelines using Jenkins, GitHub Actions, or similar platforms.
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.

Education

• Bachelor's or Master's degree in Computer Science, Engineering, Information Technology, or a related technical discipline, or equivalent professional experience.

Responsibilities

• Design, develop, and maintain scalable automated test frameworks and scripts using Python and Robot Framework.
• Test and validate AI/ML and AI-enabled applications, including model outputs, APIs, backend services, integrations, and end-to-end workflows.
• Define and implement quality engineering strategies for AI-driven and cloud-based solutions, embedding quality throughout the software development lifecycle.
• Collaborate with Engineering, AI/ML, Product, and DevOps teams to identify defects, improve testability, and contribute to code reviews and technical design discussions.
• Integrate automated testing into CI/CD pipelines to improve test coverage, release reliability, and continuous quality validation.
• Explore emerging AI testing techniques, including Generative AI and LLM testing, such as output validation, hallucination testing, prompt testing, accuracy, and regression testing.

About the Team

You will join a collaborative engineering team focused on building reliable, scalable, and innovative technology solutions. Working closely with Engineering, AI/ML, Product, and DevOps teams, you will help embed quality throughout the development lifecycle and ensure the reliability and performance of AI-enabled and cloud-based applications.

The team embraces modern engineering practices, automation, cloud technologies, and artificial intelligence to continuously improve software quality and deliver future-ready solutions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.