Description

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 & Competencies

• 4+ years of experience with Terraform for provisioning and managing cloud resources.
• Hands-on experience with AWS and Azure; familiarity with GCP is a plus.
• Proficiency in creating and maintaining CI/CD pipelines using tools such as GitHub Actions, Jenkins, or Azure DevOps.
• Experience with Docker and container orchestration.
• Strong skills in scripting languages (Python, Bash) and configuration management tools (Ansible, Chef, or Puppet).
• Familiarity with tools like Splunk, Prometheus, Grafana, ELK stack, or equivalent.
• Understanding of secure infrastructure practices, identity management, and encryption.
• Proficient with Git and branching strategies.
• Strong problem-solving abilities, attention to detail, effective communication, and ability to work in a fast-paced environment.
• 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, Software Engineering, or a related field.

Responsibilities

• Design, implement, and maintain infrastructure as code using Terraform for cloud environments (AWS, Azure).
• Build and optimise CI/CD pipelines to enable automated deployments and testing using GitHub Actions.
• Collaborate with development teams to ensure smooth integration and delivery of applications.
• Contribute to managing containerised workloads and orchestration platforms (e.g., Kubernetes/EKS/AKS).
• Ensure infrastructure security, compliance, and cost optimisation.
• Contribute to the deployment and scaling of AI-driven solutions in cloud environments.
• Troubleshoot and resolve infrastructure and deployment issues promptly.
• Document infrastructure designs, workflows, and operational procedures for maintainability.
• Stay current with emerging DevOps tools, cloud technologies, and best practices.

About the team

The Corporate Systems team, part of the Technology Services Group, supports Moody's core business and technology operations by enabling reliable day to day execution, strong coordination, and effective governance across corporate platforms and shared services. The team partners closely with senior leaders, product teams, and key stakeholders across the enterprise to drive operational excellence while also advancing innovation, including the adoption and enablement of AI driven capabilities. By bringing structure, clarity, and rigor to complex environments, Corporate Systems team members contribute to high impact work that improves how technology is delivered, operated, and evolved across the organization-helping ensure Moody's systems are resilient, forward looking, and positioned for continued growth.

For US-based roles only: the anticipated hiring base salary range for this position is $95,500.00 - $138,550.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody's also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.

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. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications

For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.

This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.

Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement. Click here to view our Notice to New York City Applicants.
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.