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.
Responsibilities
* Design and implement scalable metering systems that enable usage‑based billing, product insights, and operational visibility across Moody's SaaS platforms.
* Build scalable, cloud‑native metering pipelines that power usage tracking, analytics, and billing.
* Write efficient, maintainable code that processes telemetry and time‑series data in real time.
* Collaborate with product, data science, and platform teams to shape architecture and deliver integrated solutions.
* Guide junior engineers, set technical direction, and champion best practices in system design and observability.
* Take end‑to‑end ownership—from instrumentation and testing to deployment, monitoring, and production support.
* Deliver systems that drive both internal innovation and customer value.
About The Team
The Platform Engineering team builds the foundation that powers all of Moody's Analytics. The Metering team focuses on large‑scale usage tracking systems that enable accurate billing, actionable product analytics, and real‑time operational insights. We contribute to Moody's by delivering systems that support usage‑based billing and product visibility. We enable data‑driven decisions across internal teams and customer platforms. We partner closely with stakeholders to deliver technology that moves the business forward. By joining our team, you'll be part of a collaborative, high‑trust culture where engineers have autonomy, technical ownership, and the opportunity to make a meaningful impact on Moody's cloud‑native transformation.
Qualifications
* 4+ years of experience designing and deploying scalable backend systems; experience with metering, telemetry, or observability systems is a strong plus.
* Proficiency in C++, C#, or Java and deep understanding of Agile and Test‑Driven Development.
* 2+ years of experience with public cloud (AWS, Azure, or GCP) and building cloud‑native services.
* Strong debugging and problem‑solving skills in distributed systems.
* Excellent communication skills and a track record of influencing technical decisions across teams.
* Experience with event‑driven architectures and streaming data pipelines.
* 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.
* Experience with time‑series data modelling or analytics, Kafka, Databricks, Microsoft Fabric, or usage‑based billing systems.
* Passion for building dashboards, alerts, and usage metrics for observability.
Education
* Bachelor's degree in Computer Science, Engineering, or a related technical field required.
* Advanced degree (Master's or PhD) in a relevant discipline is a plus.
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.
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