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 arewith 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 actionenabling 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
- 8+ years of proven technology experience with strong proficiency across the integration landscape, including a deep understanding of API design, REST/SOAP services, and modern integration patterns.
- Strong handson experience designing and implementing eventdriven, cloudnative services using pub/sub messaging, and serverless or containerbased producers/consumers.
- Experience in developing containerised or serverless applications.
- Hands-on experience building and deploying Agentic AI solutions using tools like ClaudeCode, OpenAI Codex, FastMCP, CrewAI interacting with LLM APIs. Experience with RAG based implementation is essential.
- Experience with AI-assisted coding tools such as Cursor, Claude Code, GitHub Copilot, or similar platforms to enhance productivity and development efficiency.
- Skilled in creating detailed architecture diagrams using Microsoft Visio or equivalent, and presentations using PowerPoint including integration flows, system designs, event-driven models, and microservices architectures for architecture reviews.
- System Design & Security: Sound understanding of system architecture, secure coding practices, authentication, authorisation, and encryption.
- Demonstrated ability to collaborate effectively in fast-paced engineering teams, leveraging practical, hands-on development. Strong written and verbal communication skills, with the ability to articulate complex technical concepts clearly and effectively.
- 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:
- Master's or Bachelor's degree in Computer Science, Software Engineering, or a related field.
Responsibilities:
We are seeking an accomplished Senior Software Engineer to join our dynamic team. The ideal candidate will design and build modern cloudnative and AIdriven solutions across the company's technology landscape. This role combines handson development with architectural responsibilities, focusing on API integrations, eventdriven services, and agentic AI applications. The engineer will develop highquality backend and frontend components, deploy workloads on AWS and Azure, and create clear technical artifacts such as architecture diagrams and integration flows.
- Work on AI application and agent development, integrating Python backends with modern front-end frameworks, and deploying solutions on Azure.
- Architect and develop resilient cloudnative services and APIs in AWS and Azure including serverless functions and containerized microservices. Implementing eventdriven integrations (queues, topics, streams), automated testing and CI/CD pipelines, secrets management, and telemetry to ensure reliability and scalability.
- Design and develop architectural diagrams, integration flows, and system designs while adhering to enterprise architecture standards.
- Create highquality technical presentations for architecture reviews, solution proposals, and leadership briefings.
- Write clean, maintainable, and highperformance code using Python, JS, and Unix shell scripting.
- Leverage AIassisted development tools such as Cursor, ClaudeCode, GitHub Copilot, or similar platforms to accelerate development and improve code quality.
- Continuously track advancements in emerging technologies, opensource innovation, cloudnative patterns, and broader industry trends.
About The Team
The Corporate Systems team, part of the Technology Services Group, supports Moody's core business and technology operations by enabling reliable day to day execution, strong coordination, and effective governance across corporate platforms and shared services. The team partners closely with senior leaders, product teams, and key stakeholders across the enterprise to drive operational excellence while also advancing innovation, including the adoption and enablement of AI driven capabilities. By bringing structure, clarity, and rigor to complex environments, Corporate Systems team members contribute to high impact work that improves how technology is delivered, operated, and evolved across the organizationhelping ensure Moody's systems are resilient, forward looking, and positioned for continued growth.
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.
