Staff Software Engineer
Moody's
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
- Proven experience delivering production-grade software with end-to-end ownership in a full-stack environment (7+ years)
- Strong proficiency in TypeScript across frontend and backend, including modern React patterns and Node.js development
- Experience designing scalable cloud-native solutions using AWS services and serverless architectures
- Solid understanding of API design, data modeling, and working with both SQL and NoSQL databases
- Ability to solve complex, ambiguous problems and translate evolving requirements into scalable technical solutions
- Experience influencing technical direction, establishing engineering standards, and collaborating across multiple teams
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
Education
- Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience
Responsibilities
Lead the design and delivery of scalable, cloud-native full-stack solutions that support critical financial decision-making platforms.
- Design and implement scalable applications using serverless and event-driven architectures to support high-volume, mission-critical systems
- Own the full software development lifecycle from design through deployment and production monitoring
- Influence engineering standards and architectural decisions across multiple teams, driving consistency and scalability
- Collaborate with product, design, and data teams to define and deliver impactful technical solutions
- Solve complex and ambiguous technical challenges, including evolving requirements and production issues
- Ensure high-quality, maintainable code through testing, code reviews, and continuous integration practices
- Champion performance, security, and reliability standards, particularly for systems handling sensitive financial data
- Mentor peers and contribute to knowledge sharing, documentation, and continuous improvement of engineering practices
About the Team
Our team builds the technology infrastructure that powers financial decision-making for global banks, lenders, and institutional investors. As part of Moody’s Analytics, we operate at the intersection of innovation and scale, delivering reliable, high-impact solutions used by clients managing trillions in assets. You will join a fast-paced, collaborative environment made up of multiple engineering squads, including dedicated AI teams, where modern technologies and responsible AI practices are leveraged to solve complex problems with real-world impact.
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.
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