Software 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 Experience in software engineering or integration development focused on enterprise integration development , with extensive hands-on experience with any enterprise integration platform, including API design, development, and deployment across multiple environments Proficiency in one or more programming or scripting languages such as Java, JavaScript, Python, or Groovy, along with strong object-oriented programming concepts and data transformation skills alongside experience in developing, consuming, and troubleshooting RESTful and SOAP-based web services and APIs Solid understanding of enterprise integration patterns, microservices architecture, event-driven systems, and API-led connectivity principles Experience integrating enterprise platforms using connectors, APIs, and event-driven patterns in complex enterprise environments Experience with cloud-based platforms and services such as AWS, Azure, or Google Cloud Platform, including cloud-native integration capabilities Familiarity with DevOps practices, CI/CD pipelines, and tools such as Maven, Jenkins, GitHub Actions, or equivalent build and deployment automation tools. Ability to optimize integration flows and APIs for scalability, performance, reliability, and security across enterprise-grade environments. 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 Education Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline Responsibilities Design, develop, and maintain robust integrations and APIs to support business-critical applications and data flows Collaborate with solution architects, business analysts, and application teams to gather requirements and translate them into scalable integration solutions Troubleshoot and resolve issues in development, test, and production environments, ensuring high availability and reliability Build and maintain integration infrastructure, leveraging best practices for security and scalability Contribute to the continuous improvement of integration standards, patterns, and documentation across the organization Participate in code reviews, knowledge sharing on integration best practices Stay current with product enhancements and industry trends in integration and API management Promote responsible integration practices, including proper data handling, risk management, and adherence to compliance and security standards About the team The Corporate Systems, part of the Technology Services Group, supports Moody’s core business and technology operations by enabling reliable day to day execution, strong coordination, and effective governance