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

• 6+ years of professional software development experience, primarily building scalable RESTful APIs using C# and .NET Core
• Strong expertise in C#, object‑oriented design, SOLID principles, and common design patterns applied in production systems
• Proven experience designing and implementing microservices architectures and scalable API solutions
• Hands‑on experience with event‑driven systems using Apache Kafka or similar message brokers
• Solid understanding of data structures, algorithms, and performance optimization techniques
• Proficiency in concurrency and asynchronous programming in C# (async/await, Task Parallel Library, thread safety)
• Curiosity about AI tools and their application within modern software development workflows
• Awareness of core AI concepts and interest in applying AI tools responsibly, with consideration for ethics and risk management

Education

• Bachelor’s degree in Computer Science or a related field required; Master’s degree preferred

Responsibilities

• Design, build, and maintain scalable, secure, and maintainable APIs and microservices using C# and .NET Core
• Propose and evaluate architectural solutions that balance performance, scalability, reliability, and cost
• Select and integrate appropriate data storage technologies (relational, NoSQL, search) based on access patterns and constraints
• Develop and support Kafka‑based integrations for real‑time, event‑driven data pipelines
• Write clean, well‑tested, production‑ready code following object‑oriented programming and engineering best practices
• Profile, troubleshoot, and optimize applications to meet latency, throughput, and reliability targets
• Implement authentication and authorization mechanisms using industry‑standard approaches (OAuth2, OpenID Connect, JWT, API keys)
• Create and maintain unit, integration, and contract tests to ensure system quality and stability
• Contribute to continuous integration and continuous delivery pipelines for automated build and deployment
• Apply strong problem‑solving skills to design efficient solutions using appropriate data structures and algorithms
• Evaluate and responsibly apply AI‑assisted development tools to improve engineering productivity and quality
• Work with containerization and orchestration technologies, including Docker and Kubernetes
• Contribute to monitoring, logging, incident response, and operational troubleshooting
• Follow security, privacy, and compliance best practices throughout the software development lifecycle
• Collaborate closely with architects, product managers, and cross‑functional teams
• Mentor junior and mid‑level engineers through code reviews, design discussions, and knowledge sharing
• Participate in architectural reviews and technical decision‑making forums

About The Team

The Data Estate Engineering team designs, builds, and operates Moody’s Analytics’ next‑generation data pipeline. The team’s mission is to deliver high‑quality, timely data by leveraging modern, industry‑standard technologies and working closely with teams across the business.

As part of this team, you will contribute to large‑scale data engineering solutions and help shape how data powers Moody’s Analytics.

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.

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