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 virtualization engineering background with experience managing hypervisors for large-scale enterprise environments
- Virtual machine management across Linux and Windows environments
- Deep infrastructure expertise with hands-on experience in public and private cloud environments
- Experience leading high-performing engineering teams and providing technical management oversight
- Knowledge of VMware with ability to lead efforts transitioning to Nutanix technologies
- Ability to drive IT transformation with a focus on automation and modernized service delivery models
- Experience developing automated and self-service IT delivery solutions
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

Education
- Bachelor’s degree preferred; equivalent professional experience may be considered in lieu of degree

Responsibilities
Lead a cloud engineering team to modernize infrastructure, automate service delivery, and advance virtualization and cloud platform capabilities.

- Lead, coach, and develop high-performing senior engineers
- Lead the virtualization, infrastructure and operating system strategy across our hybrid cloud environments
- Evaluate new technologies and make recommendations based on cost, risk, and scalability
- Oversee cloud infrastructure modernization across public and private cloud environments
- Guide the transition from VMware to Nutanix platforms
- Create automation strategies that enable IT as a service
- Implement self-service delivery models to improve operational efficiency
- Partner with stakeholders to drive transformation within the Technology Services Engineering group
- Ensure reliability, scalability, and security across cloud and virtualization platforms
- Identify opportunities to improve engineering processes and operational excellence

Operations & Reliability
- Ensure availability, performance, and security of virtualized environments
- Oversee patching, upgrades, hardware refreshes, and capacity planning
- Drive root-cause analysis and remediation for incidents and outages
- Establish and maintain operational metrics, dashboards, and reporting

Automation & Optimization
- Promote infrastructure automation and self-service using tools such as scripting tools, configuration automation platforms, and cloud management platforms
- Improve provisioning speed, consistency, and reliability through infrastructure-as-code practices
- Optimize platform cost through right-sizing, consolidation, and license management

Cross-Functional Collaboration
- Work closely with storage, network, cloud, security, and site reliability engineering teams
- Partner with application owners to align platform capabilities with workload needs
- Support audit, risk, and compliance activities as required

About the Team
Our Technology Services Engineering (TSE) team is responsible for delivering reliable, scalable, and forward-looking infrastructure solutions that support enterprise-wide technology needs. We modernize platforms, enable automation, and drive cloud transformation to enhance how Moody’s delivers technology services. By joining our team, you will contribute to impactful work across cloud innovation, infrastructure modernization, and AI-supported engineering practices that accelerate operational excellence.

For US-based roles only: the anticipated hiring base salary range for this position is $151,000.00 - $216,800.00, 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.