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Salary: USD 139,800 - 202,800 / annual
Moody's is seeking a Senior Backend Software Engineer to design and deliver scalable back-end solutions for advanced insurance analytics products. You will build and maintain robust, high-performance systems that power the company's insurance analytics platform, working closely with machine learning engineers, data scientists, and product teams to translate complex business requirements into technical solutions.
Key responsibilities include:
- Design and deliver scalable back-end software solutions for insurance analytics products and services
- Build and maintain robust, scalable back-end systems and high-performance applications
- Design, build, and maintain extensible back-end services and web applications with 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 with product, data science, and machine learning partners to solve complex engineering challenges
- Own critical components of back-end development, demonstrating strong technical judgment and collaboration
- Evaluate new tools and technologies and provide recommendations to improve the back-end technology stack
You will be part of a software engineering team responsible for building core databases, APIs, and applications supporting Moody's insurance analytics platform. The team tackles difficult engineering challenges, leverages modern technologies including AI, and focuses on delivering measurable value for colleagues and clients.
Requirements:
- Bachelor's degree in a STEM field with 7+ years of relevant hands-on industry experience, OR Master's degree in a STEM field with 4+ years of relevant hands-on industry experience, OR PhD degree in a STEM field with 2+ years of relevant hands-on industry experience
- Expertise in Python and SQL alongside other scripting languages such as Ruby, with 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
- Growing awareness of AI risk management and commitment to responsible and ethical AI use
- Strong ability to design and implement high-quality, scalable, and maintainable back-end code solutions
- Demonstrated initiative and autonomy in problem-solving, with ability to translate abstract requirements into well-defined technical objectives
- Proven adaptability with track record of learning new programming languages, tools, and technology stacks
- Excellent written and verbal communication skills, with ability to articulate technical concepts 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; Moody's will not pursue visa sponsorship for this position
