Job description

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 • 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 NoSQL 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 Education • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent professional experience Responsibilities 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 About 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 modern technical environment that includes Spring Boot, PostgreSQL, DynamoDB, and MongoDB. By joining our team, you will be part of meaningful work that directly shapes how the organization manages risk and screens customers at scale. We embrace a culture of continuous learning and actively integrate AI tools and responsible AI practices into our development workflow to drive innovation and efficiency across everything we build. For US-based roles only: the anticipated hiring base salary range for this position is $95,500.00 - $138,550.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement. Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com . This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance. This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act. Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement . 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.

Requirements

Must-haves

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
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
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
About the Team
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement . Click here for more information on your EEO rights under the law . Click here to view our Pay Transparency Nondiscrimination statement .

Nice-to-haves

Proficiency with PostgreSQL and relational database design; familiarity with NoSQL 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

Application prep

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Keywords to mirror

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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off

Parental Leave