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

• Extensive experience (8+ years) building and shipping production-grade software systems or services, including distributed systems and large-scale data processing; 10+ years and Engineering Manager/Technical Lead experience preferred
• Proven ability to design, build, and operate online services and fault-tolerant distributed systems at internet scale, including cloud service development (Azure or AWS)
• Demonstrable proficiency in C++/C#/Java, REST APIs, agile and test-driven development, and secure software design concepts
• Hands-on experience with artificial intelligence concepts and tools to streamline engineering workflows and address complex business challenges; awareness of AI risk management and ethical use
• Strong problem-solving, debugging, and data-driven iterative improvement skills; familiarity with microservices, DevSecOps, and cloud-scale distributed design patterns
• Experience building and scaling full-stack engineering teams across geographies, architecting and delivering distributed cloud services, and working with modern infrastructure tools (e.g., Docker, Kubernetes, Terraform, GitHub Actions, Jenkins, Azure DevOps, Datadog, Prometheus, Grafana, ELK stack) preferred

Education

• BS/MS/PhD in Computer Science or equivalent industry experience

Responsibilities

• Lead and scale a high-impact engineering team delivering core platform features and services for Moodyʼs Analytics Platform.
• Build, lead, and mentor a geographically distributed engineering team, fostering an inclusive and high-performing environment
• Own team planning, hiring, performance management, and career development
• Regularly review and enhance engineering processes, automation, and tooling to improve developer productivity
• Drive execution of engineering deliverables with a focus on quality, scalability, performance, and operational readiness
• Provide hands-on technical guidance and architectural oversight across a modern tech stack
• Lead development and delivery of platforming projects, including shared services, developer tooling, and infrastructure capabilities
• Ensure the team supports production systems and participates in on-call rotations
• Establish and maintain engineering excellence through clean code, unit testing, code reviews, CI/CD, agile methodologies, and DevSecOps principles
• Collaborate with leadership and partner teams across regions to align priorities, architecture, and delivery timelines
• Ensure effective communication and coordination across time zones and geographies
• Ensure services meet or exceed SLAs, with robust monitoring, alerting, and incident management
• Proactively identify and resolve issues impacting reliability, performance, or security
• Partner with finance, procurement, and security teams to manage infrastructure costs, embed DevSecOps practices, and ensure compliance with frameworks such as SOC2 and ISO 27001

The Team

Our Platform Engineering team is responsible for building and maintaining the foundational systems and services that power Moody’s technology ecosystem.
We enable innovation by providing scalable, reliable, and secure platforms that support the development and deployment of cutting-edge applications.
By joining our team, you will be part of exciting work in cloud infrastructure, DevOps, and AI-driven platform solution.

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.