Software Engineer, Treasury Technology

About Millennium

Millennium is a global, diversified alternative investment firm, founded in 1989. Defined by evolution, innovation and focus, Millennium's mission is to deliver results for our investors.

Our people are empowered with both independence and support: the autonomy to pursue ideas with conviction and the backing of a global network committed to collaboration, disciplined risk management and continuous learning. With opportunities to deepen expertise and accelerate development, talent at Millennium is equipped to adapt, evolve and build lasting impact over time. Discover how transformative growth accelerates impact.

Meet the Team

Core to the health and growth of Millennium's business, Information Technology develops flexible, scalable technology and advanced proprietary systems that support the firm's multi-manager model. The Treasury Technology team builds systems for Treasury and Treasury Operations, spanning margin, cash and collateral management, treasury operations, and equity finance. These platforms serve Treasury analysts, Front Office users, Portfolio Managers, and Senior Management across the firm.

What You'll Do

• Partner across a global technology organization to solve business problems through robust Treasury technology solutions.
• Collaborate with global business stakeholders to gather requirements, align priorities, and manage project delivery.
• Own delivery timelines for Treasury applications and projects, driving work through to completion.
  
  

What You Bring

• At least three years of technology experience, with strong hands-on C# development skills; Angular experience is a plus.
• At least three years of hands-on programming experience, including object-oriented programming, design patterns, service-oriented architecture, concurrency, and SOLID principles.
• Hands-on .NET development experience, including C# and ASP.NET Web API.
• Experience working with enterprise databases, such as Microsoft SQL Server, Sybase, or Oracle.
• Applied AI engineering: Hands-on experience integrating LLMs into software through APIs, tool calling, MCP, and retrieval, plus proficiency in spec-driven, context-aware AI-assisted development
• Experience using continuous delivery tools.
• Strong problem-solving and analytical skills. Proven ability to thrive in a dynamic, fast-paced environment with an independent, proactive approach.
• Strong written and verbal communication skills; experience with messaging or service-oriented architectures, Agile and SDLC practices, AWS or other cloud technologies, and Python is a plus.