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
5+ years of professional software engineering experience delivering production systems
Strong Python backend development expertise using AWS Lambda, API Gateway, and boto3
Solid experience building and maintaining React and TypeScript frontend applications
Proven experience working with AWS serverless architectures in production environments
Hands-on experience with relational databases such as PostgreSQL or SQL Server
Experience writing automated tests using pytest, moto, or similar frameworks
Experience working within CI/CD pipelines and modern DevOps practices
Ability to work independently across the full stack with minimal supervision
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.
Exposure to AWS Glue, Step Functions, or AWS Batch is a plus
Experience with data pipelines or ETL development in Python is a plus
Familiarity with infrastructure as code using AWS CDK or Terraform is a plus
Curiosity about LLM integration, agentic workflows, or AI-native application patterns is a plus
Experience working on financial data products or analytics platforms is a plus
Education
Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent professional experience
Responsibilities
Own end-to-end delivery for a defined product area, contributing across backend, frontend, and supporting data workflows while maintaining high engineering standards.
Design and build RESTful APIs using Python on AWS Lambda and API Gateway
Develop and maintain React and TypeScript frontend components for reporting and analytics experiences
Implement business logic and data access layers integrated with relational databases and S3
Contribute to ETL and data pipeline development under the guidance of the Senior Data Engineer
Write and maintain automated tests and ensure code quality through CI/CD pipelines
Invest time in upfront design, technical planning, and documentation before implementation
Participate actively in architecture discussions, sprint planning, and code reviews
Produce clear technical documentation and API specifications
Support and mentor Software Engineers within the squad
About the Team
This role sits within a full‑stack product engineering team building data‑driven platforms for Moody’s Casualty and Financial Lines. The team focuses on modern, serverless AWS architectures, high‑quality user experiences, and strong engineering fundamentals. Engineers work closely with Product, Data, and Platform partners to deliver reliable, scalable solutions in a regulated, enterprise environment while continuously improving how software is designed, built, and operated.
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.