QA Engineer

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving 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 8+ years of experience as an SDET, with a strong focus on test automation, data testing, and validation Hands-on experience with Playwright (JavaScript/TypeScript) for UI and backend test automation, with exposure to Playwright MCP and self-healing locator concepts; ability to write clean, maintainable, and reusable test code with guidance and best practices Experience with Playwright, TestNG, and Pytest automation frameworks, working across JavaScript/TypeScript, Java, and Python codebases Experience using AI-assisted test automation tools (e.g., Playwright MCP, GitHub Copilot Agent Mode) Proficient in SQL for writing and debugging complex queries, including advanced SQL for data validation and multi‑system reconciliation Expertise in GitHub branching strategies, workflow management, pull request reviews, and CI/CD pipeline integration Expertise in Web Services testing, including manual API testing with Postman and automation using REST API frameworks Experience with Microsoft Fabric, including dataflows, lakehouses, and semantic models Deep understanding of relational databases, data warehousing concepts, and data modeling Hands-on experience with AI platforms (e.g., Copilot Studio), including building AI agents and applying AI-driven testing strategies such as automated test generation, anomaly detection, and predictive analytics Strong analytical skills and attention to detail when working with large datasets Ability to troubleshoot data issues and communicate findings effectively Organized, detail-oriented, and able to multitask effectively Experience with JIRA (preferably JIRA Xray) and Agile/Scrum methodologies Knowledge of cloud technologies (AWS or similar) Experience with Excel-based data analysis and reporting Finance domain experience Excellent communication and collaboration skills Experience using GitHub Copilot for accelerating development and automation tasks (Preferred) Performance testing experience (Preferred) Demonstrated proficiency using AI tools with a commitment to responsible and ethical use of AI Experience leveraging advanced AI capabilities and building AI‑supported solutions to enhance quality, automation, and innovation Education Bachelor’s or higher degree in Computer Science or a related technical field preferred

Responsibilities In this role, you will contribute to high‑impact automation and data quality efforts that ensure reliable and accurate systems across key corporate platforms. Perform comprehensive software testing, including test automation, test data creation, test case design, and application of modern testing methodologies Build, run, and maintain test automation suites to improve repeatability, coverage, and reliability, using Python for data validation and functional checks where applicable Actively contribute to and develop automation frameworks using Playwright, TestNG, and Pytest across JavaScript/TypeScript and Python-based testing Integrate automated tests into CI/CD pipelines including GitHub Actions, Jenkins, and Azure DevOps Perform end-to-end data validation, including source‑to‑target mapping, transformation verification, and business logic validation Validate curated tables and data models within Microsoft Fabric using advanced SQL to ensure data quality, completeness, and integrity across systems, while developing automation to reduce manual testing Identify data anomalies, discrepancies, or quality issues, and communicate findings clearly to engineering teams Leverage AI tools for LLM‑assisted test case generation, automated test data creation, anomaly/defect prediction, self-healing locators, and autonomous test execution Track and communicate quality metrics such as coverage, escape rate, and test flakiness, driving continuous improvement Adapt to evolving testing

requirements driven by business priorities and propose innovative ideas for process optimization Maintain clear communication with the reporting manager through timely updates and actionable insights

About

the Team The Corporate Systems team within the Technology Services Group supports Moody’s core business operations by ensuring reliable execution, strong coordination, and effective governance across enterprise platforms.

The team partners with senior leaders, product teams, and stakeholders to deliver operational excellence while advancing innovation, including AI‑driven capabilities. By bringing structure and rigor to complex environments,

the team helps ensure Moody’s systems remain resilient, scalable, and positioned for continued growth. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the

requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.