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, Pytest test automation frameworks with the ability to work seamlessly 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. Advanced SQL for database testing, data validation, and reconciliation across systems.
• Expertise in GitHub branching strategies and workflow management, including feature branching, pull request reviews, and CI/CD pipeline integration.
• Expertise in Web Services - API testing manually using Postman and REST API automation frameworks.
• Experience with Microsoft Fabric, including working with dataflows, lakehouses, and semantic models.
• Deep understanding of relational databases, data warehousing concepts, and data modelling.
• Hands-on experience with AI platforms and tools (e.g., Copilot Studio), including building AI agents, combined with a strong willingness to learn and apply AI-driven testing strategies. Open to introducing innovative ideas such as leveraging AI for automated test generation, anomaly detection, and predictive analytics to enhance QA processes.
• 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.

Education

• Bachelor’s or higher degree in Computer Science or a related technical field preferred

Responsibilities

• Perform comprehensive software testing, including test automation, test data creation, test case design, and 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.
• Ability to actively contribute to and develop automation frameworks, with hands-on experience using tools such as Playwright, and Pytest for for JavaScript/TypeScript and Python-based testing
• Integrate automated tests into CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps).
• Perform end-to-end data validation testing, including source-to-target mapping, transformation validation, and business logic verification.
• Validate curated tables and data models within Microsoft Fabric by leveraging advanced SQL queries to ensure data quality, completeness, and integrity across systems. Develop and implement test automation solutions to eliminate manual testing redundancies
• Identify data anomalies, discrepancies, or quality issues, and communicate findings clearly to engineering teams.
• Leverage AI tools to accelerate QA: LLM-assisted test case generation, automated test data creation, anomaly/defect prediction, self-healing locators, and autonomous test execution.
• Track and communicate quality metrics/KPIs (coverage, escape rate, flakiness) and drive continuous improvement.
• Adapt to evolving testing requirements driven by business priorities and share innovative ideas for process optimization.
• Maintain clear communication with the reporting manager through timely updates and sharing actionable insights for continuous improvement.
• 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.

About the team

The Corporate Systems team, part of the Technology Services Group, supports Moody’s core business and technology operations by enabling reliable day‑to‑day execution, strong coordination, and effective governance across corporate platforms and shared services. The team partners closely with senior leaders, product teams, and key stakeholders across the enterprise to drive operational excellence while also advancing innovation, including the adoption and enablement of AI‑driven capabilities. By bringing structure, clarity, and rigor to complex environments, Corporate Systems team members contribute to high‑impact work that improves how technology is delivered, operated, and evolved across the organization—helping ensure Moody’s systems are resilient, forward‑looking, and positioned for continued growth.

#LI-Hybrid

Annual base salary gross: €44,200.00 to €70,800.00. Applicable to Lithuania candidates: The base salary range represents the low and high end of the Moody’s salary range for this position. Actual salaries will vary and will be based on various factors, such as candidate’s qualifications, skills, and competencies. The salary is one component of Moody’s total compensation package for employees. Other rewards and benefits include the following: Medical, Personal Accident, Life Insurance and Time Off.

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.