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

• 6-9 years of experience in QA engineering with a strong focus on automation
• Proficiency in Python-based testing frameworks such as pytest and unittest, including fixtures and parametrization
• Experience testing AWS serverless applications, including Lambda and API Gateway
• Hands-on experience with moto and/or LocalStack for AWS service mocking
• Experience integrating testing into CI/CD pipelines using tools such as GitHub Actions or AWS CodePipeline
• Strong API testing skills, including REST, contract testing, and regression testing
• Experience validating data pipelines for data accuracy and schema integrity
• Ability to collaborate across multiple squads and effectively manage competing priorities
• Exposure to AWS Batch, Step Functions, and performance testing is a plus
• Demonstrated interest in leveraging AI tools for test generation and quality strategy optimization

Education

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience

Responsibilities
Drive quality and scalability by designing and implementing robust automation frameworks for a serverless Python-based platform.

• Build and enhance automated test frameworks for AWS Lambda functions, APIs, and Batch processing jobs
• Develop and maintain integration and end-to-end API test suites
• Implement and optimize CI/CD testing stages to ensure efficient and reliable deployments
• Utilize moto or LocalStack to create effective AWS test environments for development and testing
• Define and enforce test standards, coverage benchmarks, and best practices across teams
• Validate outputs of data pipelines, including AWS Glue and Batch processes, ensuring data correctness and consistency
• Perform contract testing and regression testing to maintain system integrity
• Enable shift-left testing by integrating tests into pull request stages
• Track, analyze, and report on quality metrics to drive continuous improvement

About the Team
The team operates in a fast-paced, collaborative multi-squad environment focused on building and delivering scalable serverless APIs, data pipelines, and frontend applications. With a strong emphasis on automation, quality, and continuous improvement, the team values innovation, ownership, and cross-functional collaboration to deliver impactful technology solutions.

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.