Let's begin! Senior Software Engineer

Moody's Corporation•Charlotte, NC

20h

About The Position

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. Our Analytical Tools team is responsible for building scalable applications and APIs to support Moody’s Ratings process. The team focuses on delivering critical financial analytical tools, AI-driven applications, and driving platform modernization through strong engineering practices, and an AI-first mindset, contributing directly to the Moody’s core business and technology strategy.

Requirements

Strong experience designing and building enterprise applications using Java, Spring Boot, REST APIs, GraphQL APIs, and reactive programming patterns
Hands-on experience with relational databases, SQL, PostgreSQL, schema design, data modeling, migrations, and data-access patterns for business-critical applications
Experience integrating distributed systems using service APIs, event-driven patterns, caching, secure service-to-service communication, and contract-driven development
Working knowledge of cloud-native engineering practices, including containers, Kubernetes, Helm, GitOps, continuous integration and continuous delivery pipelines, API gateways, and environment configuration
Ability to troubleshoot complex issues using logs, metrics, traces, dashboards, performance analysis, and root-cause investigation across user interface, API, data, and deployment layers
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

Nice To Haves

Preferred experience with modern front-end development using Angular, TypeScript, RxJS, reusable component design, forms, data grids, and spreadsheet-style user experiences
Desired experience with scripting or automation languages such as Python, including use cases such as developer tooling, data validation, operational support, test automation, or workflow efficiency
Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency.

Responsibilities

Design and deliver secure, scalable software for financial projection workflows used by analysts and business stakeholders.
Design, develop, and maintain full-stack capabilities across web applications, backend services, data services, database assets, and deployment configurations
Build user-facing workflows for Ratings analytical applications
Develop and enhance backend services using Java, Spring Boot, GraphQL, REST APIs, reactive programming, caching, messaging, and secure integration patterns
Build and maintain front-end functionality using Angular, TypeScript, reactive programming, enterprise design standards, data grids, spreadsheet components, and Excel-compatible workflows
Own technical delivery from design through production release, including implementation, testing, code review, documentation, deployment readiness, and post-release support
Improve reliability, performance, observability, and maintainability by analyzing production behavior, resolving defects, improving test coverage, and addressing technical debt
Collaborate independently with product owners, analysts, quality engineers, architects, platform teams, and other engineers while mentoring team members and influencing engineering practices