Associate 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.

• Strong curiosity and passion for a broad set of technologies, from DevOps to Software Development and AI applications in these fields
• Proficiency in at least one programming language (e.g., Python, Rust, C#)
• Demonstrated ability to tinker with technology and build innovative solutions to complex problems using software design principles
• Excellent problem-solving skills and a collaborative mindset
• Strong communication skills and the ability to work effectively in a diverse team environment
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline software development workflows and improve code quality
• Proven ability to implement AI-powered solutions within software projects, such as automating testing, optimising deployment pipelines, or enhancing application feature
• Familiarity or passion for working with platform engineering technologies such as cloud infrastructure (AWS, Azure, GCP), containerisation (Docker, Kubernetes), CI/CD pipelines, and infrastructure as code (Terraform, Ansible)

• Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).

• Contribute to the development and innovation of platform engineering solutions with a focus on software development and applications of AI technologies
• Collaborate with cross-functional teams to design, develop, and deploy scalable, object-oriented software solutions
• Participate in the full software development lifecycle, from concept through delivery and maintenance
• Explore and integrate AI technologies to enhance platform capabilities
• Continuously learn and experiment with new tools, frameworks, and technologies to improve development processes
• Write clean, maintainable, and efficient code following object-oriented best practices and coding standards
• Engage in code reviews, testing, and debugging to ensure high-quality software delivery
• Contribute to the automation of platform engineering workflows using CI/CD pipelines and infrastructure as code
• Support the deployment and management of cloud-based services and containerised applications.

Our Platform Engineering team is responsible for building and maintaining the foundational systems and services that power Moody's technology ecosystem.

We enable innovation by providing scalable, reliable, and secure platforms that support the development and deployment of cutting-edge applications.

By joining our team, you will be part of exciting work in cloud infrastructure, DevOps, and AI-driven platform solutions

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.