Let's begin! Senior Software Engineer

Moody's•Chicago, PA

12d•Onsite

About The Position

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

Requirements

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
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

Nice To Haves

Knowledge of Geographic Information Systems is preferred but not required

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