Senior Software Engineer

Moody's; Charlotte (NC); On-site; USD 117,000 - 169,000; Full time

Benefits offered by this job

Completion bonus

Stock purchase plan

Insurance

Job summary

Moody's Corporation is seeking skilled software engineers to design and build scalable financial analytics software. You will work across full-stack web applications, backend services, data assets, and deployment configurations, applying Java, Spring Boot, GraphQL, REST, and AI-enabled workflows.

You will collaborate with product owners and analysts to deliver reliable, secure software. Moody's emphasizes AI-driven tools, platform modernization, and a strong engineering culture across on-site

Qualifications

• Experience designing and building enterprise apps with Java, Spring Boot, REST/GraphQL, and reactive patterns.
• Frontend development with Angular, TypeScript, RxJS, and data-grid UX.
• Relational DBs: SQL, PostgreSQL, data modeling and migrations.
• APIs and distributed systems with event-driven patterns.
• Cloud-native engineering: containers, Kubernetes, Helm, GitOps, CI/CD.

Responsibilities

• Design and deliver secure, scalable software for financial projection workflows used by analysts and stakeholders.
• Develop full-stack capabilities across web apps, backend services, data services, and deployments.
• Build user-facing workflows for Ratings analytical apps.
• Enhance backend services using Java, Spring Boot, GraphQL/REST, caching, messaging, and secure integration.
• Implement front-end with Angular, TypeScript, data grids and Excel-like workflows.
• Own delivery from design to production, including testing, reviews, and post-release support.
• Improve reliability, performance, observability, and maintainability; reduce technical debt.
• Collaborate with product owners, analysts, QA, architects, platform teams; mentor peers.

Skills

Java Spring Boot REST GraphQL

Angular TypeScript RxJS

SQL PostgreSQL

Distributed systems APIs

Cloud-native Kubernetes Helm GitOps

Troubleshooting logs metrics traces

Python scripting

AI concepts/tools

Education

Bachelors in CS/Software Eng/IT or related field

Job 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.

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.

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 [e-mail]. 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.

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.