
Server-Side Engineer (C++) - Pre-Trade Risk 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
We are seeking a Server-Side Engineer to join the Pre-Trade Risk Technology team. The team manages a latency-sensitive distributed system responsible for monitoring high-throughput trading flow, calculating aggregate risk metrics across hundreds of venues, and blocking trades in real time to prevent control violations. The platform operates across global markets and supports multiple asset classes.
The firm is undertaking several initiatives to update its order management systems (OMSs) toward next-generation, sequencer-based bus architectures with many components written in C++. Our risk controls systems must integrate efficiently with these new OMSs, including adding new components to the bus. Our existing infrastructure is primarily written in Java, and we are seeking candidates with experience in both languages.
This role will also support the buildout of new controls, particularly for Asian markets.
What You'll Do
What You Bring

Millennium is a global, diversified alternative investment firm, founded in 1989, which manages $84 billion in assets. Defined by evolution, innovation and focus, Millennium's mission is to deliver high-quality returns for our investors.
Millennium seeks to empower talented professionals with the sophisticated expertise, resources and technology to pursue a diverse range of investment strategies across industry sectors, asset classes and geographies.
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