MA Platform Engineering

As part of our team, you'll help build and operate our own identity provider-supporting Moody's external customers across a multi-cloud SaaS platform. This means working on complex, large-scale identity systems from the ground up. It's technically challenging, highly impactful, and a rare opportunity to shape how identity is managed in a secure, scalable, and resilient way. You'll play a key role in ensuring the platform meets the highest standards of availability, compliance, and performance across diverse environments.

• Design, develop, and maintain scalable cloud-native services for a multi-cloud SaaS platform.
• Design, code, test, and deploy high-quality features with end-to-end ownership.
• Build and operate distributed, multi-tenant services with a focus on performance, scalability, and maintainability.
• Collaborate with cross-functional teams to deliver robust solutions aligned with business goals.
• Mentor junior engineers and promote best practices in software development.
• Continuously improve system reliability and operational efficiency through monitoring and iterative problem-solving.

About the Team

Our MA Platform Engineering team is responsible for building and maintaining the foundational services that power Moody's Analytics SaaS offerings. By joining our team, you will be part of exciting work in:

• Developing scalable, cloud-native infrastructure across AWS and Azure.
• Enabling secure and efficient data processing for thousands of users.
• Driving innovation in platform engineering to support Moody's digital transformation

• Proven experience (5+ years) in building and shipping production-grade software systems, particularly in distributed systems, large-scale data processing, and cloud-native services.
• Strong proficiency in designing and developing RESTful APIs using microservices architecture, with hands-on experience in AWS and/or Azure environments.
• Deep understanding of multi-threading, memory management, and asynchronous programming fundamentals.
• Demonstrated ability to debug complex issues in multi-tenant cloud environments and optimize performance through bottleneck analysis and resource monitoring.
• Strong communication skills with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders.
• Preferred: Familiarity with identity protocols (OAuth2.0, SAML 2.0, SCIM) and identity providers such as AWS Cognito, Okta, or Azure Active Directory; experience with event-driven architecture and tools like Azure EventHub or AWS SNS/SQS., * Bachelor's, Master's, or PhD in Computer Science or a related field, or equivalent industry experience.

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., Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. 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.