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, including hands-on experience using AI tools to streamline code generation and testing, with 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 requirementsDemonstrated 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 (GIS) is preferred but not required
Education
- 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
Responsibilities
- 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, APIs, and applications that support Moodys 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 a
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