Software Engineer
Click here to Apply OnlineJob 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.
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.
Job Description
Job Title
Software Engineer
Entity
MA
Line of Business / Department
Data Estate
Location
Bengaluru, India
Full Time / Part Time
Full Time
Skills and Competencies
- Strong verbal and written communication skills with the ability to translate technical concepts into business language.
- Proficient in full-stack development, including UI and backend services.
- Hands-on experience with modern front-end frameworks (Retool, React, Angular, Vue.js).
- Solid understanding of cloud infrastructure (AWS, Azure) and microservices architecture.
- Expertise in SQL, PL/SQL, and NoSQL databases (MongoDB, Cassandra, DynamoDB).
- Experience with service-based architectures, data lakes, and analytics platforms.
- Familiarity with Agile methodologies (Scrum, Lean Startup, XP).
- Skilled in build and deployment tools (GitHub, Jenkins, Maven, Gradle).
- Knowledge of unit testing and usability testing practices.
- Experience in banking or financial data domains is a plus.
Education
Minimum Bachelor’s degree in Computer Science or related field from top institutions. Master’s degree is a plus.
Responsibilities
- Design, develop, and maintain internal tools and UI applications to enhance data quality and operational efficiency.
- Collaborate with UX/UI designers and backend developers to build scalable and performant solutions.
- Develop backend APIs and Lambda functions to support UI functionalities.
- Optimize user interfaces for speed, scalability, and accessibility.
- Conduct usability testing and iterate based on feedback.
- Integrate applications with APIs, databases, and third-party tools.
- Participate in code reviews and contribute to engineering best practices.
- Support build, deployment, and maintenance tasks using GitHub and CI/CD tools.
- Ensure compliance with software development standards and security protocols.
About the Team
The Data Estate engineering team is transitioning from “Data at Rest” to “Data in Motion” using event-driven architecture and NoSQL technologies. The team is focused on building scalable internal tools that improve data quality and empower stakeholders. This role offers the opportunity to work on cutting-edge technologies, contribute to a culture of engineering excellence, and shape the future of Moody’s data platforms.
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.
For more information on the Securities Trading Program, please refer to the STP Quick Reference guide on ComplianceNet
Please note: STP categories are assigned by the hiring teams and are subject to change over the course of an employee’s tenure with Moody’s.
- Posted: 09/08/2025
- Job Reference #: 9598
- Location(s):
- Quay Building 8th Floor, Bagmane Tech Park, Bengaluru, KA 560093, India
- Line of Business: Data Estate(DE)
- Job category:
- Engineering & Technology
- Experience Level: Experienced Hire