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 and Competencies

• Deep knowledge of object-oriented programming and experience with at least one object-oriented programming language (Java, C#, etc.).

• Experience with scripting languages like PowerShell, Python, etc.

• Production experience with cloud platforms (AWS, Azure, GCP) and cloud-native architecture.

• Production experience with container technologies (Docker, Kubernetes, etc.).

• Experience with continuous integration and continuous deployment (CI/CD).

• Strong problem-solving skills and the ability to work independently and as part of a team.

• Ability to support and mentor other engineers on best practices, architecture, and quality.

• Interest in exploring agentic 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 or equivalent field.

• 7+ years of relevant work experience.

Responsibilities This position plays a critical role in enhancing the efficiency and effectiveness of our software development lifecycle and ensuring the highest level of service quality for clients & stakeholders.

• Design, implement, and maintain scalable and reliable infrastructure solutions, automating processes to deploy, manage, configure, scale, and monitor applications.

• Collaborate with development teams to ensure seamless integration and deployment of applications, and to facilitate experimentation along with functional and load-testing.

• Create and manage build and deploy workflow processes related to product development and testing.

• Manage and support infrastructure and development applications including continuous integration, source code management, and hosted applications to ensure optimal performance, availability, and security.

• Troubleshoot and resolve infrastructure-related issues, working closely with cross-functional teams to identify root causes and implement effective solutions.

• Actively participate in high-level team activities such as suggesting architecture improvements, recommending process improvements, and conducting tool evaluations.

• Research new technologies to stay current with industry trends and advancements in DevOps.

• Work collaboratively with team members to ensure successful delivery and assist in the coordination of activities of less experienced DevOps team members.

About the team

Our Platform Engineering team is responsible for ensuring the success of the company's SaaS offerings. We develop, enhance, and maintain the frameworks and automation for the platform to streamline operations and improve efficiency. Our team also manages deployments and infrastructure enhancements to ensure the platform remains robust, scalable, and secure. By joining our team, you will be part of exciting work that supports multiple public clouds, maintains high security compliance standards, and allows for flexibility and adaptability in usage and operations.

For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00 - $169,000.00, 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.
Requisition #: 11271

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