Senior Software Engineer

About the role

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.

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

Requirements

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

Qualifications

• 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
• 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

Skills

• Expertise in Python and SQL alongside other scripting languages such as Ruby
• Demonstrated proficiency in artificial intelligence concepts
• Proven ability to implement AI-powered solutions to solve business challenges
• Strong ability to design and implement high-quality, scalable, and maintainable back-end code solutions
• 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
• Knowledge of Geographic Information Systems

Benefits

This position 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.

Pay

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.

Schedule

This position is available on a full-time basis.

Company

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.