Software Engineer; Java​/

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.

Skills and Competencies

• Three to five years of experience in software engineering, with strong proficiency in Java and the Spring Boot and Spring framework
• Hands-on experience with AWS cloud services, ECS, and Docker container orchestration for deploying and managing applications in production environments
• Proficiency with PostgreSQL and relational database design; familiarity with No
  
  SQL databases such as DynamoDB and MongoDB is preferred
• Experience with current Java versions; working knowledge of Java 17 is required, and experience migrating applications toward Java 21 or Java 25 is a plus
• Familiarity with search technologies, particularly Apache Lucene or GNR, is preferred
• Strong problem-solving skills with the ability to learn quickly, adapt in a fast-paced environment, and bring meaningful technical insight to the team
• Effective communication and collaboration skills with the ability to work independently and contribute as part of a cross-functional engineering team
• Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Proven ability to implement AI-powered solutions to solve business challenges. Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience

Design, develop, and maintain Java-based screening applications hosted on AWS to support customers across the organization.

• Develop and enhance screening applications, including grid screening solutions, using Java, Spring Boot, and related Spring technologies
• Deploy and manage containerized applications on AWS using ECS and Docker, ensuring reliability, scalability, and performance
• Write, optimize, and maintain database queries and schemas in PostgreSQL; support integration with DynamoDB and MongoDB as required
• Participate in the ongoing migration of applications from Java 17 toward Java 21 or Java 25, following current engineering standards
• Leverage search technologies, including Lucene or GNR, to implement and improve application search functionality
• Collaborate with cross-functional teams to gather requirements and translate business needs into well-designed, maintainable technical solutions
• Apply the organization's AI product development lifecycle practices and utilize approved AI tools such as Claude to improve development workflows, code quality, and team productivity
• Contribute to code reviews, technical documentation, and the continuous improvement of engineering best practices across the team

Our Screening Technology team is responsible for building and supporting the screening applications that serve customers across the organization, including grid screening solutions critical to business operations. The applications are primarily Java-based and hosted on AWS using ECS and Docker containers, running in a…