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Senior Software Engineer

Moody's Corporation
Gurugram, IND
Full-time
Mid-Senior
Onsite
Discovered 1 months ago
C#/.NET CoreAsynchronous programmingWPFMVVMAmazon RedshiftSQL and NoSQL databases

Full Job Posting

Role Overview

Moody's is seeking a senior software engineer for its Structured Finance data engineering team.

The team acquires, processes, enriches, and maintains data for waterfall cash flow modeling products using ETL workflows, modeling tools, and deal update frameworks.

Responsibilities

  • Participate in the full product development life cycle for structured finance applications.
  • Design, develop, and maintain desktop, UI, and console components using C#/.NET and Azure or AWS.
  • Architect and operate serverless applications and ETL pipelines on Azure or AWS.
  • Develop reusable pipeline patterns, frameworks, and templates.
  • Own significant components from technical design through production support.
  • Provide technical guidance and mentorship.
  • Translate business requirements into technical solutions with stakeholders.
  • Contribute to CI/CD and DevOps improvements.
  • Maintain documentation for system designs, data workflows, and APIs.

Skills and Competencies

  • 6 or more years of production backend service development using C# and .NET Core.
  • Strong asynchronous programming, dependency injection, and clean or layered architecture skills.
  • Experience with WPF and MVVM, including Prism or a similar framework.
  • 1 to 2 years of experience working with Amazon Redshift.
  • Strong SQL and NoSQL database knowledge and secure coding expertise.
  • Experience with Azure serverless and microservices workloads and queue-driven systems.
  • Strong foundations in data structures, algorithms, and system design.

Education

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

Preferred Skills

  • Familiarity with real-time WPF development, IVY C# for data extraction, structured finance, or AI-assisted development tools is valued.

About the Team

The Structured Finance team develops scalable data extraction and processing workflows for securitization deal libraries including CMBS, ABS, and RMBS.

The role provides hands-on experience with structured finance and complex technical challenges in data engineering and platform design.

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