Senior Software Engineer

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 experience designing and building enterprise applications using Java, Spring Boot, REST APIs, GraphQL APIs, and reactive programming patterns

Preferred experience with modern front-end development using Angular, TypeScript, RxJS, reusable component design, forms, data grids, and spreadsheet-style user experiences

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

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. 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 in computer science, Software Engineering, Information Technology, or a related technical field, or equivalent practical experience

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

About the Team

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.

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 may be eligible for a completion bonus. Moody’s also offers insurance and a discounted employee stock purchase plan for limited duration employees.

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.

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.