Backend - Senior 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.

Employment eligibility to work in the U.S. is required, as Moody’s will not pursue visa sponsorship for this position

Skills and Competencies

• Expertise in Python and SQL alongside other scripting languages such as Ruby, with a demonstrated understanding of software architecture principles required to design scalable systems
• 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
• Strong ability to design and implement high-quality, scalable, and maintainable back-end code solutions that meet business and technical requirements
• Demonstrated initiative and autonomy in problem-solving, with the ability to translate abstract requirements into well-defined technical objectives
• Proven adaptability, with a track record of learning new programming languages, tools, and technology stacks and applying them effectively based on business needs
• Excellent written and verbal communication skills, with the ability to articulate technical concepts and business requirements to technical and non-technical stakeholders
• Knowledge of Geographic Information Systems is preferred but not required
• Employment eligibility to work in the U.S. is required, as Moody's will not pursue visa sponsorship for this position

Education

• Bachelor's degree in a STEM field with 7+ years of relevant hands-on industry experience
• Master's degree in a STEM field with 4+ years of relevant hands-on industry experience
• PhD degree in a STEM field with 2+ years of relevant hands-on industry experience

Responsibilities

Design and deliver scalable back-end software solutions that power advanced insurance analytics products and services.

• Build and maintain robust, scalable back-end systems that power high-performance insurance analytics applications
• Design, build, and maintain extensible back-end services and web applications with a focus on architecture, scalability, and reliability
• Participate in technical design discussions and provide expert input across the back-end technology stack
• Perform code reviews and technical analysis to ensure code quality, maintainability, and alignment with engineering standards
• Develop and maintain unit and end-to-end tests to ensure system performance and reliability
• Collaborate closely with product, data science, and machine learning partners to translate business requirements into technical solutions
• Evaluate new tools and technologies and provide recommendations to continuously improve the back-end technology stack
• Own critical components of back-end development, demonstrating strong technical judgment and collaboration skills

About the Team

Our software engineering team is responsible for building the core databases, application programming interfaces, and applications that support Moody's insurance analytics platform. By joining the team, you will collaborate closely with machine learning engineers and data scientists to solve complex engineering challenges and deliver meaningful impact for customers and internal partners. We tackle difficult engineering challenges, leverage modern technologies including artificial intelligence to improve outcomes, and focus on delivering measurable value for our colleagues and clients every day.

For US-based roles only: the anticipated hiring base salary range for this position is$139,800.00-$202,800.00, 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 [email protected]. 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.

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.