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 (GIS) is preferred but not required
Education
Bachelor’s degree in a STEM field with 3+ years of relevant hands-on industry experience, or
Master’s degree in a STEM field with 2+ years of relevant hands-on industry experience, or
PhD degree in a STEM field with 1+ 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 and internal partners. We tackle difficult engineering challenges utilising the newest technolgies including AI and focus on delivering impact for our coworkers and clients each day.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.
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.