Principal Software Engineer

Skills and Competencies

• 10+ years of software engineering experience delivering complex, large-scale, multi-team initiatives with measurable business impact
• Strong expertise in Java, Scala, C#, C++, or Python, with extensive experience building scalable APIs, microservices, and distributed systems
• Deep knowledge of relational and NoSQL databases, cloud-native technologies, containerized applications, and modern software architecture
• Strong understanding of algorithms, data structures, performance optimization, scalability, reliability, and security best practices
• Proven ability to influence technical strategy, lead organizational change, mentor engineering teams, and drive cross-functional alignment
• Demonstrated commitment to engineering excellence through testing, observability, system health monitoring, and continuous improvement practices

Education

• Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience

Responsibilities

• Define and execute long-term technical strategies that align engineering investments with business objectives and customer outcomes
• Lead the design and delivery of large-scale, mission-critical software systems across multiple teams
• Drive architectural decisions, technical roadmaps, and organizational alignment through strong technical leadership
• Mentor engineers and foster a culture of innovation, collaboration, and engineering excellence
• Identify and mitigate technical risks while balancing immediate business needs with long-term platform sustainability
• Partner with product and business stakeholders to ensure technology investments maximize customer value

About the Team

Moody's Insurance Solutions develops advanced software, modeling, and analytics platforms that help organizations quantify and manage risk across the global property and casualty insurance market. The team delivers innovative solutions addressing natural catastrophes, cyber threats, climate risks, and emerging challenges through modern technology and data science.