Senior Software Engineer - CLO Compliance

Siepe is a fast-growing technology company headquartered in Dallas, TX – focused on helping investment managers turn complexity into clarity. We build software and data solutions that give hedge funds and financial services firms the visibility, speed, and confidence they need to make better decisions – faster.  Our platform delivers a unified source of truth that empowers our clients with real-time, actionable insights. We don’t just serve the industry – we help modernize it!  Siepe is profitable, privately held, and growing fast. We offer more than just competitive pay and great benefits—we offer the chance to do impactful work alongside sharp, driven teammates in a culture that rewards curiosity, initiative, and follow-through. Whether you come from finance, tech, or are charting a new path, you’ll find meaningful problems to solve, real ownership, and the momentum to grow your career with purpose. 

Siepe is seeking a Senior Software Engineer to join our CLO Compliance engineering team and help modernize and extend a mission-critical SaaS platform that powers complex compliance workflows, regulatory reporting, and risk management for CLO investment management firms. 

This role is ideal for an engineer who thrives in AI-first development workflows using tools like Claude Code and GitHub Copilot to accelerate delivery, while maintaining high standards for correctness, testing, and production reliability in a mature, domain-rich financial system with 2,600+ business rules governing indenture compliance. 

What You’ll Be Doing

Application Development (70%)  

• Use AI tools (Claude Code, GitHub Copilot, ChatGPT) to accelerate feature delivery across multiple workstreams while maintaining strong engineering rigor.
• Build and maintain .NET 8 / C# REST APIs for CLO compliance, testing, and reporting. 
• Implement complex business logic for indenture compliance tests and financial rules. 
• Enhance domain models for CLO structures, positions, compliance tests, and results. 
• Extend dynamic rule execution frameworks (LINQ, expression trees, dynamic runtime).  
• Apply CQRS patterns for scalable command/query separation and high-performance I/O. 
Platform Modernization & AI Enablement (15%) 
• Make the codebase “AI-ready” by upgrading legacy .NET components, removing obsolete libraries, and improving architecture boundaries without breaking production behavior.
•  Produce guiding documentation and examples for AI-assisted development (prompting patterns, review checklists, test scaffolding, safe refactor approaches).
• Introduce/strengthen unit + integration test coverage to create safe feedback loops for AI-generated changes.
• Build context systems that improve AI effectiveness (e.g., curated architecture notes, service maps, dependency graphs, domain vocabulary). 
Testing & Quality (15%) 
• Write unit tests with NUnit and mocking frameworks (e.g., Rhino.Mocks) and expand integration coverage across APIs and data layers.
• Participate in code reviews with a focus on validating AI-generated code for correctness, security, maintainability, and performance.
• Troubleshoot production issues using logs/metrics (Serilog, health checks), debug root causes, and ship safe fixes with strong test coverage.

What You'll Bring

• AI-first workflow mindset — confidently direct, review, and validate AI-generated code to ship features safely and fast
• Strong .NET/C# fundamentals: SOLID, design patterns, DI, and testing discipline in real production environments
• 3+ years professional C#/.NET experience (modern .NET 6+; ideally .NET 8/10)
• Experience building ASP.NET Core Web APIs and designing maintainable REST services
• SQL Server skills (complex queries, joins, stored procedures; performance tuning)
• Familiarity with DI/IoC patterns (Unity and/or built-in DI) and clean service registration  
• Experience with NUnit (or similar) and automated testing practices (unit + integration)
• Git-based collaboration workflows and comfort working across a multi-service backend 
• Experience modernizing legacy systems (e.g., migrating .NET Framework to modern .NET, replacing obsolet