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. 

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.

• Proficiency in C/C++, Python, and Shell scripting
• Hands-on experience with Infrastructure as Code using Terraform
• Experience managing containerized workloads using Kubernetes, with preference for Google Kubernetes Engine (GKE)
• Strong understanding of cloud architecture patterns across Google Cloud Platform, Amazon Web Services, and Microsoft Azure
• Demonstrated experience mentoring engineers and supporting technical growth
• Hands-on experience working within Agile delivery environments
• Management experience is a plus
• Experience designing, building, or supporting ETL processes and data pipelines is a plus
• Deep understanding of observability practices, including logs, metrics, and traces
• Demonstrated hands-on experience using AI tools to improve workflows, with an understanding of responsible and ethical AI practices

• Bachelor’s degree in Computer Science, Engineering, or a related technical field; advanced degree preferred

• Design, build, and maintain high-quality systems that support scalable and resilient platforms
• Develop high-performance software using C/C++, Python, and Shell scripting
• Implement and maintain Infrastructure as Code solutions to improve consistency and scalability
• Architect and optimize cloud-native systems across Google Cloud Platform, Amazon Web Services, and Microsoft Azure
• Lead and contribute to Agile ceremonies, supporting the delivery of high-quality, iterative releases
• Provide mentorship and technical guidance to engineering team members
• Serve as incident leader during critical events and drive high-quality postmortems
• Enhance observability practices to ensure reliable, data-driven system performance
• Collaborate cross-functionally to deliver robust, maintainable software solutions