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Salary
≈ $35k – $86k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff · 9+ years exp

First seen by Alion on Sep 25, 2026.

Overview
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Impact
Profile match
Moody's provides credit ratings, risk analytics and economic research. Its analytics division sells software for credit assessment, compliance screening and climate risk. The firm is one of the principal global rating agencies.

Job Description :


At Moody's, we unite the brightest minds to turn today's risks into tomorrow's opportunities.

We do this by striving to create an inclusive environment where everyone feels welcome to be who they are - with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

Moody's is transforming how the world sees risk.

As a global leader in ratings and integrated risk assessment, we're advancing AI to move from insight to action - enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles.

We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

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.

- Strong 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.

Education :

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

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 strong 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.

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.

Moody's is an equal opportunity employer.

Skills

Java, Scala, C#, C++, Python, Data Structure, Algorithm, RESTful API, Microservices Architecture, RDBMS

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