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
- 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.
- 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).
- 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.
Application Development (70%)
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 obsolete libraries, incremental refactors with production stability)
- Understanding of LLM integration patterns: tool use, agentic loops, embedding pipelines, prompt engineering, semantic search
- “Embedding-driven” context assembly concepts (e.g., using metadata like stored procedures, property catalogs, sample queries to build context-relevant prompts)
- Expression tree / Roslyn experience (strong plus)
- Fintech / investment management / compliance platform experience (CLOs, structured credit, regulatory workflows)
- Observability patterns (Serilog, health checks, monitoring), Docker/containerization exposure
- Performance optimization for data-intensive financial systems
- Must have current and ongoing authorization to work in the country of employment without the need for visa sponsorship, now or in the future.
Top Skills
What We Do
Siepe is a public cloud managed services and data analytics provider designed specifically to address the technology needs of asset managers. We were built from the ground-up by experienced industry practitioners, using modular technology and flexible, well-formed data solutions. So whether you use our services as stand-alone or quickly integrate them with third parties, you can trust us to seamlessly apply institutional and regulatory best practices across your business. Siepe's intuitive managed platform enables you to leverage data as an asset, creating order from disparate data sources, mitigating operational risk through investment transparency and optimizing efficiency through process visualization – allowing fund managers to discover strategic and actionable insights.
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