Assistant Director - DevOps Engineer
About the role
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. Skills and Competencies Strong hands-on experience designing, building, and operating cloud-based DevOps and platform solutions, with exposure to Kubernetes-based environments and containerised workloads Solid experience with public cloud platforms including core services such as identity and access management, networking, storage, databases, and monitoring Good working knowledge of Infrastructure as Code tools such as Terraform or equivalent including reusable modules, environment management, and CI/CD integration Experience implementing and operating automated deployment approaches including Git-based workflows and declarative delivery models Practical experience with CI/CD tooling and source control platforms such as GitHub including build pipelines, reusable workflows, and common branching and release practices 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 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 Education Bachelor’s degree in Computer Science Engineering or equivalent practical experience Relevant cloud DevOps or platform certifications such as AWS Kubernetes Terraform or equivalent are desirable but not required