DevOps Engineer

• Support the reliability, scalability, and automation of Moody's MAP platform services through infrastructure automation, CI/CD enablement, and cross-team collaboration
• Develop and maintain infrastructure-as-code solutions using Terraform and Kubernetes
• Contribute to build and deploy pipelines using CircleCI and GitHub Actions
• Maintain and monitor production services on MAP, ensuring performance, availability, and security
• Participate in incident response and root cause analysis
• Collaborate with development, security, and platform teams to onboard strategic applications and ensure compliance
• Develop and refine observability tooling and automation frameworks
• Support onboarding of other engineers and assist in documentation and knowledge sharing
• Ensure infrastructure and deployment practices align with Moody's ISMS and audit requirements

The Team

Our Platform Engineering team is responsible for building and maintaining the foundational systems and services that power Moody's technology ecosystem We enable innovation by providing scalable, reliable, and secure platforms that support the development and deployment of cutting-edge applications. By joining our team, you will be part of exciting work in cloud infrastructure, DevOps, and AI-driven platform solution

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.

• Minimum 1 year experience in DevOps, Site Reliability Engineering, or infrastructure engineering roles
• Previous experience of one or more cloud platforms-Google Cloud Platform (GCP), Azure, or AWS
• Experience working with in CI/CD tools such as CircleCI and GitHub Actions
• Skilled in infrastructure automation using Terraform and Kubernetes
• Coding and debugging skills in one programming language or more such as Python, C#, Rust
• Basic understanding of artificial intelligence concepts, with curiosity and enthusiasm for learning how AI tools can be used to improve processes and drive efficiency
• Interest in exploring AI systems and a willingness to develop awareness of responsible AI practices, including risk management and ethical use

Education

• Bachelor's degree in Computer Science, Engineering, or a related technical field required
• Advanced degree (Master's or PhD) in a relevant discipline is a plus

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.