Gurugram, India

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Posted 07/13/2026

Job reference 14080

Experience level Experienced Hire

Job category Engineering & Technology

Line of business Data Estate

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

• 2-4 years of experience as a Software Developer with strong proficiency in the Microsoft .NET technology stack.
• Exposure to C++ is a plus.
• Deep understanding of object-oriented design and core programming fundamentals.
• Familiarity with relational databases (data modelling, SQL queries, joins, basic performance awareness).
• Strong debugging, quantitative, and problem-solving abilities.
• Excellent spoken and written communication and receptive listening skills, with the ability to present complex ideas clearly and concisely to both technical and non-technical audiences.
• Great initiative, ability to learn quickly, and strong organizational skills.
• Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Claude.
• AWS experience is a plus
  
  

Education

• Bachelor's, Master's, or PhD degree in Computer Science, Information Technology, or a related field.
  
  

Responsibilities

• You will be involved in all aspects of PDLC, working directly with key business stakeholders to build and support structured finance applications.
• Design, develop, and maintain and supporting desktop/UI/Console components using C#/.NET and modern AWS technologies, working independently with minimal supervision.
• Architect, implement, and operate scalable, reliable, cost-efficient serverless applications and ETL pipelines on AWS, making independent technical decisions within agreed standards.
• Take ownership of significant components, driving delivery from technical design through deployment and production support.
• Contribute to ETL and data pipeline work under the direction of the Senior Data Engineer
• Provide technical guidance and mentorship, supporting skill development and fostering a collaborative, inclusive team culture.
• Work closely with product managers, analysts, and stakeholders to translate business requirements into well-designed technical solutions.
• Contribute to CI/CD and DevOps improvements to streamline deployments and improve system reliability.
• Create and maintain technical documentation for system designs, data workflows, and APIs.
• Stay current with emerging technologies, including AI capabilities, and participate in team ceremonies to align solutions with strategic goals.
  
  

About The Team

The Data Engineering team in the Structured Finance domain focuses on acquiring, processing, enriching, and maintaining data using in-house ETL workflows, modeling tools, and deal update frameworks. We deliver critical data for waterfall cash flow modeling products, which leverage extensive securitization deal libraries (e.g., CMBS, ABS, RMBS) and are widely used by industry leaders. We are seeking a software engineer to join our team and work on designing efficient data pipelines, developing scalable data extraction tools, and improving data processing workflows. This role offers hands-on experience in structured finance and the chance to tackle complex technical challenges while refining your problem-solving and engineering skills.

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.

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