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 Compentencies

• 3–5 years of experience in at least one modern object-oriented programming language such as Java, Python, or C#/.NET
• Hands-on experience designing, building, and operating microservices, data platforms, and data engineering workflows wroking in product based environment highly preferred
• Strong understanding of distributed systems, including scalability, performance, reliability, and fault tolerance principles
• Experience with cloud-native technologies, preferably AWS, including Docker and Kubernetes
• Experience with streaming and batch-processing technologies such as Apache Kafka, Apache Flink, Apache Spark, and AWS Glue jobs
• Proactive and collaborative mindset with a strong passion for continuous learning and problem-solving

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent professional experience

Responsibilities

This role is responsible for designing, building, and operating scalable backend services that power Moody’s cloud-native SaaS platform.

• Design, develop, and operate critical backend services, APIs, and data processing systems
• Write clean, maintainable, and thoroughly tested code in Java, Python, and/or C#/.NET
• Solve complex technical challenges related to distributed systems, concurrency, and performance at scale
• Collaborate with product managers and engineers to translate functional requirements into robust technical designs
• Participate in architectural discussions and code reviews to continuously elevate engineering standards
• Own the full software development lifecycle, including design, implementation, testing, deployment, and operational support
• Identify opportunities to improve platform architecture and propose practical, scalable solutions
• Promote engineering best practices for scalability, reliability, security, and observability
• Communicate technical decisions and project status clearly to stakeholders and partner teams

About The Team

The Platform Engineering team at Moody’s Insurance Solutions builds the foundational services, infrastructure, and developer tools that support modern, cloud-native SaaS products. The team enables scalability, reliability, and high-quality delivery, acting as a force multiplier for product engineering teams across the organization and helping accelerate innovation across Moody’s Insurance 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.