Sr Systems Engineer (ML operations)

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 expertise in core Amazon Web Services (AWS) services, including EC2, VPC, IAM, S3, and CloudFormation, to architect and maintain secure and scalable cloud infrastructure.
• Proficiency in Linux system administration and scripting using languages such as Python or Bash.
• Demonstrated experience with Infrastructure-as-Code tools, particularly Terraform or AWS CloudFormation and soild understanding of networking principles, cloud security best practices, and high-availability architectures.
• Exhibits a strong work ethic, effective teamwork, clear communication, and excellent problem-solving skills, with a willingness to work flexible hours to collaborate with international teams.
• Preferred qualifications include AWS certifications (e.g., AWS Certified Solutions Architect – Professional), experience with Microsoft Azure, and familiarity with CI/CD pipelines.
• Desired experience with containerization and orchestration (e.g., Docker, Kubernetes) and exposure to ML/AI infrastructure requirements.

Education

• Bachelor’s or master’s degree in computer science, engineering, or a related field.
• 3–4+ years of experience in a cloud systems engineering or architecture role.

Responsibilities

• Lead the design, implementation, and maintenance of our AWS-based cloud architecture, ensuring the scalability, security, and reliability of our AI platforms.
• Architect and maintain secure, scalable, and cost-efficient cloud infrastructure on AWS.
• Automate infrastructure provisioning and configuration using Infrastructure-as-Code tools like Terraform and AWS CDK.
• Implement and manage monitoring, logging, and alerting for cloud resources using tools such as AWS CloudWatch.
• Manage system performance, availability, and disaster recovery strategies to ensure platform reliability.
• Collaborate with data scientists, data engineers, and MLOps engineers to support machine learning (ML) and Generative AI (GenAI) workloads, ensuring optimal resource allocation.
• Ensure compliance with security best practices, including identity management, encryption, and network security.
• Troubleshoot and resolve complex system-level issues across cloud environments.

About the team

Our AI Analytics team is responsible for developing advanced machine learning and generative AI solutions for high-profile data science initiatives. Our department contributes to Moody's by delivering robust cloud solutions that power our AI initiatives, ensuring the scalability and reliability of our data platforms, and enabling collaboration between data scientists and engineers to drive innovation. By joining our team, you will be part of exciting work in building and managing the cloud infrastructure that supports cutting-edge AI and machine learning projects.

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.

For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet

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.