Software Engineer - Integrations Developer

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 industry experience in software engineering or integration development, with at least 3 years focused MuleSoft, SAP Integration Suite (CPI), Boomi, Oracle ESB/SOA, Informatica, Workato, webMethods, or a similar platform. Hands-on technical expertise developing complex backend integrations using Workday Studio and building custom applications via Workday Extend is a plus. Extensive hands-on experience with MuleSoft Anypoint Platform, including API design, development, and deployment. Proficiency in Java, Java Scripting, DataWeave and object-oriented programming concepts. Strong analytical and problem-solving skills, with a keen ability to design and implement efficient integration solutions. Demonstrated experience in developing and troubleshooting RESTful services. Solid understanding of integration patterns, microservices architecture, and event-driven systems. Experience integrating enterprise platforms such as SAP, Salesforce, and SuccessFactors using MuleSoft connectors, APIs, and event-driven patterns in complex enterprise environments. Experience with cloud-based platforms and services, preferably AWS or Azure. Familiarity with DevOps practices, CI/CD pipelines, and tools such as Maven, Jenkins, and Git. Ability to optimize MuleSoft flows for scalability, performance, and security. Excellent communication skills and proven ability to convey complex integration concepts to both technical and non-technical stakeholders. Experience working in Agile development environments and collaborating within cross-functional teams. 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. Demonstrated proficiency with hands‑on experience using AI tools to enhance work efficiency and a commitment to the responsible and ethical use of AI. Education Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline.