Responsibilities

- Provide senior technical leadership by defining and executing multi-year engineering strategies that deliver measurable business and customer impact.
- Define and execute multi-year, multi-team technical strategies that align with business priorities and customer outcomes
- Lead large-scale, high-stakes initiatives, effectively managing complexity, ambiguity, risk, and quality at scale
- Drive alignment across engineering, product, and business teams to prioritize work that maximizes organizational value
- Exercise robust technical judgment to influence roadmaps, architectural direction, and strategic decisions across teams
- Build and evolve robust, scalable software architectures designed to support growth, flexibility, and new use cases
- Mentor and coach engineers across teams, fostering a strong growth mindset, technical excellence, and high performance
- Partner closely with product leaders and stakeholders, balancing technical trade-offs, diverse viewpoints, and long-term versus short-term needs
- Act as a role model by leading technical discussions, reviews, documentation, and change initiatives while embodying collaboration and Moody s core values

Education

- Bachelor s or master s degree in computer science, engineering, or a related discipline, or equivalent professional experience

Skills and Competencies

- 9+ years of hands-on software engineering experience, delivering high-impact, multi-team initiatives with measurable business outcomes
- Strong programming expertise in one or more of Java, Scala, C#, C++, and Python, with a deep understanding of data structures, algorithms, and complexity analysis
- Proven experience with data platforms at scale, including relational databases (Postgres, MySQL, SQL Server, Oracle) and NoSQL data stores,



with strong query processing knowledge
- Expertise in building production-grade RESTful APIs and microservices with a focus on scalability, robustness, security, and reliability
- Hands-on experience with cloud-native and on-prem systems, leveraging Docker, Kubernetes, and modern deployment practices for cost-effective execution
- Advanced systems knowledge, including multi-threading, memory management, software design principles, architecture best practices, and writing well-tested, high-quality code
- Strong problem-solving mindset and resilience, with deep knowledge of testing strategies, system health monitoring, and adaptability to organizational and technical change
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Solid experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization.

About the Team

The engineering team develops cutting-edge software, sophisticated models, and advanced analytics that power risk quantification for the global multi-trillion-dollar property and casualty insurance market. The team s work enables organizations worldwide to better understand and manage the risks of natural and human-made catastrophes, including hurricanes, earthquakes, floods, wildfires, terrorism, cyber threats, climate change, and pandemics.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Staff Software Engineer (Bengaluru)
🏢 Moody's Analytics
📍 Bengaluru