Senior Software Engineer - Integrations

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

6+ years of industry experience in software engineering or integration development, with at least 4 years focused on MuleSoft; experience in SAP Integration Suite 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

Solid understanding of integration patterns, microservices architecture, and event-driven systems with demonstrated experience in developing and troubleshooting RESTful services

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 understanding of core AI concepts, including generative AI and Agentic AI, with AI-related certifications or formal training considered a strong plus.

Education

Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related technical discipline

MuleSoft Developer certification (MCD – Level 1 or higher) and BTP certifications preferred

AI related certification is a plus.

Responsibilities

Design, develop, and maintain robust MuleSoft and BTP 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 on MuleSoft and BTP, 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 MuleSoft 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

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.

About the team

The Corporate Systems team, 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 across corporate platforms and shared services. The team partners closely with senior leaders, product teams, and key stakeholders across the enterprise to drive operational excellence while also advancing innovation, including the adoption and enablement of AI driven capabilities. By bringing structure, clarity, and rigor to complex environments, Corporate Systems team members contribute to high impact work that improves how technology is delivered, operated, and evolved across the organization—helping ensure Moody’s systems are resilient, forward‑looking, and positioned for continued growth.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.