DevOps Engineer

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.

Required

Skills and Competencies

• Familiar with cloud services (e.g, AWS, GCP, Azure)
• Experience with source code management systems (e.g., GitHub, Bitbucket, GitLab)
• Basic knowledge of Linux-based systems (e.g., Ubuntu, CentOS) and willingness to learn more
• Exposure to containerized concepts using Docker
• Interest in learning Cloud and DevOps security practices (e.g., security group configuration, secrets management, and least privilege access)
• Willingness to develop troubleshooting, communication, and documentation skills; able to stay organized and adapt in a fast-paced environment
  
  

Preferred

• Familiarity with AI-assisted development tools (e.g., GitHub Copilot, Cursor, Amazon Q)
• Basic understanding of scripting and programming, with an interest in using it for automation (e.g., python)
• Exposure to core concept of Infrastructure as Code(IaC) tools (CloudFormation or Terraform)

Familiarity with CI/CD tools (e.g., Jenkins, GitHub Actions, CircleCI) to support automated builds and deployments

Basic understanding of networking and load balancing concepts, along with exposure to tools such as Nginx, HAProxy, AWS ALB, or NLB.

Experience with AWS

Familiarity with monitoring/logging tools (e.g., Splunk, Grafana, Datadog)

Understanding of Agile practices and familiarity with related tools (e.g., Jira, Trello)

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, a related field, or equivalent practical experience
  
  

Responsibilities

Supporting the design, deployment, and monitoring of systems that power Moody’s products, while learning to apply best practices in reliability, security, and scalability in a multi-region cloud environment.

• Drive adoption of serverless architectures (e.g., AWS Lambda, Step Functions, Glue, MWAA, DynamoDB) and container-based platforms (e.g., ECS Fargate) to modernize existing systems and deliver products more efficiently.
• Adopt Infrastructure as Code (IaC) (e.g., Terraform, CloudFormation) and Policy as Code (PaC) (e.g., Wiz, Prisma) to ensure consistency and compliance.
• Build and maintain flexible, reusable, and secure CI/CD infrastructure that enables development teams to manage their own pipelines for fast, reliable application delivery.
• Monitor and optimize AWS resource usage to control costs while maintaining reliability and scalability.
• Administer SaaS tools (e.g., GitHub, Postman, JFrog, Prisma Cloud, internal portals) to ensure security and efficient development workflows.

Track and evaluate emerging tools, services, and practices in the industry, testing and adopting those that enhance scalability, security, or developer productivity.

About The Team

Our DC&I DevOps team is responsible for ensuring the reliability, security, and scalability of Moody’s global web platforms.

We contribute to Moody’s by:

• Delivering scalable, multi-region cloud infrastructure to support high-traffic, customer-facing products.
• Providing agile, automated deployment pipelines that allow products to be released quickly, reliably, and securely.
• Safeguarding platforms with robust monitoring, traffic management, and security practices to ensure resilience and compliance.
  
  

By joining our team, you will gain hands-on experience across a broad DevOps technology stack and work on high-impact systems that power Moody’s digital products worldwide.

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.