Senior Software Engineer - Python Full Stack

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