DevOps Engineer

Moody’s transforms how the world sees risk as a global leader in ratings and integrated risk assessment. The company advances AI to help clients navigate uncertainty with clarity, speed, and confidence.

• Support the design, deployment, and operation of secure, scalable cloud infrastructure and DevOps platforms powering Moody’s products;
• Drive adoption of serverless architectures and container-based platforms to modernize applications and improve delivery efficiency;
• Implement Infrastructure as Code and Policy as Code practices to improve consistency, governance, and compliance across cloud environments;
• Build and maintain secure, scalable continuous integration and continuous deployment infrastructure that enables efficient software delivery;
• Monitor and optimize Amazon Web Services resource utilization to balance reliability, performance, scalability, and cost efficiency;
• Administer software-as-a-service development tools and platforms to support secure and productive engineering workflows;
• Collaborate with engineering teams to improve operational excellence, automation, and platform reliability;
• Troubleshoot infrastructure and deployment issues while contributing to documentation and knowledge sharing across teams;
• Evaluate emerging technologies, services, and industry best practices to enhance developer productivity, security, and scalability.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience;
• Familiarity with cloud services and platforms such as Amazon Web Services, Google Cloud Platform, or Microsoft Azure;
• Experience with source code management systems such as GitHub, Bitbucket, or GitLab;
• Basic knowledge of Linux-based operating systems and willingness to expand technical expertise;
• Exposure to containerization technologies, including Docker;
• Understanding of cloud and DevOps security concepts, including access controls, secrets management, and least privilege principles;
• 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 willingness to develop awareness of responsible AI practices, including risk management and ethical use;
• Nice to have: Familiarity with continuous integration and continuous deployment tools such as Jenkins, GitHub Actions, or CircleCI; exposure to Infrastructure as Code tools such as Terraform or AWS CloudFormation.

• Employment is contingent upon compliance with Moody’s Policy for Securities Trading, including remediation of securities holdings as necessary.