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.
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Strong hands-on experience designing, building, and operating cloud-based DevOps and platform solutions, with exposure to Kubernetes-based environments and containerised workloads
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Solid experience with public cloud platforms including core services such as identity and access management, networking, storage, databases, and monitoring
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Good working knowledge of Infrastructure as Code tools such as Terraform or equivalent including reusable modules, environment management, and CI/CD integration
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Experience implementing and operating automated deployment approaches including Git-based workflows and declarative delivery models
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Practical experience with CI/CD tooling and source control platforms such as GitHub including build pipelines, reusable workflows, and common branching and release practices
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General awareness of artificial intelligence concepts and practical experience using AI-enabled tools to improve productivity and operational efficiency with an understanding of responsible and ethical AI use
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Strong collaboration and communication skills with the ability to work effectively with engineers security and product stakeholders and to support others through knowledge sharing and informal mentoring
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Bachelor’s degree in Computer Science Engineering or equivalent practical experience
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Relevant cloud DevOps or platform certifications such as AWS Kubernetes Terraform or equivalent are desirable but not required
Support DevOps and platform engineering delivery by designing building and operating reliable cloud infrastructure and automation under the direction of senior engineering leadership
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Design implement and operate secure and scalable cloud infrastructure to support application delivery and platform reliability
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Build and maintain container-based platforms and services including Kubernetes-based solutions following established architectural standards
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Develop and support cloud-native and event-driven components using managed cloud services where appropriate
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Implement Infrastructure as Code solutions contributing to shared modules patterns and documentation
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Build operate and continuously improve CI/CD pipelines to support consistent and repeatable delivery across environments
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Apply agreed branching release and deployment practices supporting engineering teams in adopting standard ways of working
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Support automation for testing security checks compliance validation and deployments
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Monitor systems and platforms analysing performance and reliability trends and escalating risks or issues when identified
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Participate in incident response and post-incident reviews contributing to root-cause analysis and follow-up actions
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Implement and operate observability capabilities including monitoring logging and alerting to support service reliability
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Provide day-to-day technical guidance and informal mentoring to engineers without formal people management responsibility
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Use AI-enabled tools and automation responsibly to streamline operational workflows and improve efficiency
Our DevOps team within Data Estate builds and operates the cloud platforms, tooling, AI and automation that enable engineering teams to deliver software safely and efficiently
We support scalable and reliable cloud infrastructure standardised delivery pipelines and strong security and governance practices
The team works closely with engineering security and product stakeholders across regions to deliver measurable improvements in reliability and developer experience
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.
