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 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.
What We Offer
Compensation & Financial Well-being:
- Competitive Compensation Packages, including Annual Performance-Based Bonuses
- 401(k) Retirement Plan with company match to support your long-term financial goals
- Employee Referral Program – earn rewards for helping us grow our talented team
Health & Insurance Benefits
- Comprehensive Health, Dental, Vision, and Life Insurance
- Flexible plans tailored to support individuals and families
Learning & Career Growth
- Annual investment in your Learning & Development goals
- On-the-job exposure to innovative technologies and financial strategies
- Growth opportunities in a collaborative, fast-paced environment that values continuous improvement
Time Off & Flexibility
- Flexible Time Off (FTO)
- Flexibility to recharge and maintain work-life balance
In-Office Perks & Culture
- Daily meal delivery allowance when working from the office
- Monthly Celebrations and Quarterly Offsite Events
- Annual Holiday Party to celebrate milestones and build team connection
- A vibrant, inclusive office culture that blends fun with purpose
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
