Job Description
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
- 3+ years of professional software engineering experience
- Solid Python development skills, with exposure to AWS Lambda or serverless architectures
- Working knowledge of React and/or TypeScript for frontend development
- Familiarity with relational databases such as PostgreSQL or SQL Server
- Experience writing unit and integration tests using pytest or similar frameworks
- Comfortable working in version-controlled codebases and CI/CD environments
- Eagerness to learn and apply AWS services within a serverless stack
- Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency.
- Exposure to AWS Glue, Step Functions, or data pipeline development is a plus
- Familiarity with infrastructure-as-code concepts such as AWS CDK is a plus
- Curiosity about LLMs, agentic tools, or AI-assisted development workflows is a plus
- Experience working on data-heavy or analytics-focused products along with Docker and Containerization is a plus
Education
- Bachelor’s degree in Computer Science, Engineering, or a related technical discipline, or equivalent professional experience
Responsibilities
- Contribute to end-to-end feature delivery across backend and frontend systems while growing technical depth within established architectural patterns.
- Build and maintain Python-based AWS Lambda functions and API Gateway endpoints for product features
- Develop React and TypeScript frontend components under the guidance of Senior engineers
- Write unit and integration tests and contribute to maintaining CI/CD pipelines
- Work with S3 and relational databases to support data access and storage needs
- Contribute to ETL and data pipeline work under the direction of the Senior Data Engineer
- Participate actively in code reviews, sprint ceremonies, and technical discussions
- Document features and APIs clearly for use by other squads and stakeholders
