- 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.