Senior Software 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 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