Sr Machine Learning 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.

• 5+ years of professional software engineering experience with a strong focus on Java, including the ability to design, develop, and maintain robust, scalable, and production-ready applications
• Proficiency in Java frameworks such as Spring Boot, Hibernate, or equivalent, with working knowledge of RESTful API design and microservices architecture
• Experience working in Agile development environments with a track record of delivering high-quality code through continuous integration and continuous deployment (CI/CD) pipelines
• Solid understanding of cloud platforms, with AWS preferred, including experience with containerization technologies such as Docker and Kubernetes
• Familiarity with relational and non-relational databases, including writing and optimizing SQL queries and understanding data modeling concepts
• Strong ability to collaborate across cross-functional engineering and analytical teams, participate in code reviews, and communicate technical concepts clearly to both technical and non-technical stakeholders
• 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 in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience

Design, build, and maintain high-quality Java-based software solutions that support Moody's Ratings technology platforms and analytical workflows

• Develop and maintain scalable, well‑tested Java applications and services that power core ratings technology systems, following established engineering standards and best practices
• Architect and implement RESTful APIs and microservices to support internal platforms and downstream analytical tools used by ratings professionals
• Collaborate with product owners, business analysts, and fellow engineers to translate business requirements into technical solutions that meet performance, reliability, and scalability expectations
• Participate in all phases of the software development lifecycle, including design, development, testing, code review, deployment, and post‑production monitoring
• Contribute to continuous improvement initiatives by identifying opportunities to modernize legacy systems, reduce technical debt, and enhance overall system performance
• Mentor junior and associate software engineers, offering guidance on coding standards, design patterns, and engineering practices that promote a culture of quality
• Engage with cloud infrastructure and Dev Ops tooling to support automated builds, testing pipelines, and deployment processes in alignment with the team's engineering roadmap

The Ratings Technology team at Moody's builds and maintains the critical platforms and engineering systems that support the global ratings process. Based in Charlotte, the team works at the intersection of finance and technology, delivering…