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

• Kubernetes and container orchestration expertise, with 2+ years of hands-on experience using Amazon EKS, including cluster security, scaling, and high availability
• Strong experience with Amazon Web Services (AWS), including serverless technologies (Lambda, API Gateway, EventBridge, Step Functions) and core services such as IAM, VPC, S3, RDS, and CloudWatch
• Infrastructure as Code experience, with 2+ years using Terraform to provision and manage multi-environment cloud infrastructure
• Proficiency in CI/CD practices, including GitHub Actions, GitHub workflows, and Git-based development; experience with GitOps deployment patterns preferred
• Experience implementing observability solutions, including monitoring, logging, and alerting using CloudWatch, Prometheus, Grafana, and Elastic (ELK) stack, with strong production troubleshooting skills
• Knowledge of cloud security and compliance, including networking fundamentals, secrets management, secure configuration, and risk-based controls
• 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, Engineering, or equivalent practical experience
  
  

Responsibilities

The role is responsible for designing, operating, and continuously improving secure, scalable cloud platforms and delivery pipelines to support reliable cloud-native application delivery.

• Design, automate, and operate secure cloud platforms and CI/CD pipelines to enable reliable and scalable application delivery
• Design, deploy, and manage Amazon EKS clusters, including networking, scaling, security hardening, and high-availability configurations
• Architect and implement AWS serverless solutions using managed services such as Lambda, API Gateway, EventBridge, and Step Functions
• Develop and maintain Infrastructure as Code using Terraform to support repeatable, governed, multi-environment deployments
• Build and improve CI/CD pipelines and GitOps practices using GitHub Actions and related tooling to increase deployment consistency and auditability
• Implement and maintain observability solutions, including monitoring, logging, alerting, and service-level indicators across platforms
• Troubleshoot complex production issues, lead incident response and root cause analysis, and drive preventive remediation
• Partner with engineering teams on security, reliability, documentation, and operational readiness, including on-call and disaster recovery planning
  
  

About The Team

The DevOps & Platform Engineering team builds and operates shared cloud platforms that enable product and engineering teams to deliver software safely, quickly, and reliably. The team focuses on standardizing cloud infrastructure, strengthening security and reliability, and continuously improving delivery automation across environments and product lines.

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.