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

• 6-9 years of DevOps and cloud engineering experience with expertise in enterprise-scale CI/CD pipelines using Azure DevOps, Jenkins, and GitHub Actions
• Advanced experience with Infrastructure as Code using Terraform and AWS CloudFormation, including reusable and scalable infrastructure designs
• Deep knowledge of AWS and Azure services, cloud architecture, cost optimization, high availability, security, and disaster recovery best practices
• Hands-on experience with containerization, Kubernetes/EKS, monitoring, logging, alerting platforms, and DevSecOps integration
• Strong scripting and automation skills using Python, Bash, and configuration management tools such as Ansible, Chef, or Puppet
• Demonstrated understanding of AI technologies and a commitment to leveraging AI tools to enhance DevOps efficiency and operational excellence

Education

• Bachelor's, Master's, or PhD degree in Computer Science, Information Technology, or a related discipline

Responsibilities

• Architect, implement, and maintain robust CI/CD pipelines supporting large-scale application deployment and delivery
• Design and automate cloud infrastructure using Infrastructure as Code best practices
• Manage containerized workloads and orchestration platforms while optimizing performance, reliability, and scalability
• Implement monitoring, observability, security, and compliance frameworks across cloud environments
• Troubleshoot infrastructure and deployment challenges while driving continuous operational improvements
• Mentor junior engineers and contribute to documentation, standards, and DevOps best practices across the organization.

About the Team
The Asset Management Technology team builds and operates modern cloud platforms that support innovative financial technology solutions. The team combines engineering excellence, automation, and AI-driven innovation to deliver secure, scalable, and resilient services for clients worldwide.

Moody's is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody's also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws.
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.
For more information on the Securities Trading Program, please refer to the Securities Trading Policy on Moody's Compliance Expo page

Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee's tenure with Moody's.