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. 

• Minimum 5 years’ experience in DevOps, Site Reliability Engineering, or infrastructure engineering roles.
• Proficient in one or more cloud platforms—Google Cloud Platform (GCP), Azure, or AWS.
• Skilled in CI/CD tools such as CircleCI and GitHub Actions.
• Experienced in infrastructure automation using Terraform and Kubernetes.
• Strong scripting and debugging skills in Python, Shell, and SQL.
• Familiarity with regulated environments and compliance frameworks, including ISMS and audit requirements.
• Ability to support onboarding and coordination of junior engineers, and assist in knowledge transfer and documentation.
• 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

• 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.

• 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 junior engineers and assist in documentation and knowledge sharing.
• Ensure infrastructure and deployment practices align with Moody’s ISMS and audit requirements.

Our Platform Engineering team is responsible for designing, implementing, and maintaining scalable and reliable infrastructure solutions that power Moody’s MAP platform.

We contribute to Moodys by enabling automation and continuous delivery across cloud environments. We ensure high performance, availability, and security of production services and collaborate across development, security, and operations to support strategic application onboarding and compliance.
By joining our team, you will be part of exciting work in cloud-native transformation, infrastructure automation, and platform reliability across global environments.

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.