Software Engineer - Full Stack and Data (React / Python)

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 hands on experience building and supporting user interface based web applications using React, including internships or professionally delivered academic projects, required to take ownership of features in the applications the team operates today Working experience with Python for backend development, ideally using FastAPI or a similar framework such as Flask or Django, including building and consuming RESTful APIs, required to support and extend the services behind the team’s applications Solid command of Structured Query Language, including writing queries, joins, and aggregations against relational databases, required as the direct foundation for learning PySpark; a structured, mentored learning path into PySpark and data engineering is built into this role, so prior big data experience is preferred but not required Foundational software engineering discipline, including Git based version control, code reviews, testing, documentation, and Agile ways of working, with a willingness to grow into continuous integration and continuous delivery, secure coding, and cloud practices used across the team Strong analytical and problem solving skills, required to investigate application and data issues, learn quickly from feedback, and contribute effective solutions with support from senior engineers Clear communication and dependable collaboration, along with genuine curiosity and drive to grow into data engineering and AI enabled workloads, required to work effectively within the team, ask insightful questions, and take on increasing responsibility on highly visible enterprise initiatives 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.

Bachelor’s degree or higher in Computer Science, Information Technology, Software Engineering, or a related technical field Responsibilities Support the development, maintenance, and evolution of web applications, services, and data solutions while building expertise in modern software engineering, data engineering, and AI enabled technologies. Support, enhance, and help maintain the team’s React based web applications, resolving defects and delivering improvements that keep users productive from day one Develop and support FastAPI based backend services and RESTful APIs, with guidance from senior engineers, ensuring reliability and performance Take growing ownership of features end to end, from requirement clarification through deployment, enabling senior engineers to focus on platform and architecture work Write clean, maintainable, well tested code in React, Python, and Structured Query Language, while actively participating in