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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 our business, Millennium’s Information Technology organization develops flexible, scalable technology and advanced proprietary systems that support the firm’s active, multi-manager platform. This team focuses on the Equity Derivatives platform and infrastructure, partnering closely with developers, quants, and production support teams to maintain a reliable, high-performing environment for critical trading and risk-related workflows.
What You'll Do
• Build, maintain, and support internal platforms used by Equity Derivatives portfolio managers, quants, and technology teams
• Develop robust, automated tooling to streamline deployments, configuration management, and failover processes
• Write, test, support, and maintain high-quality code using best practices, including unit testing, documentation, and CI/CD automation
• Profile application stacks to identify latency bottlenecks and drive measurable platform performance improvements
• Apply AI-enabled approaches to strengthen data validation, anomaly detection, and support automation
• Provide Level 2 production support, including troubleshooting, incident response, and performance tuning for critical systems
• Partner closely with developers, quants, and support teams to improve platform reliability, operational efficiency, and scalability
What You Bring
• Hands-on experience with Python, Groovy, or C++
• Strong experience working in Unix/Linux environments
• Experience with Docker, Kubernetes, and cloud platforms
• Familiarity with messaging middleware such as Kafka or Solace
• Experience with Equity Derivatives pricing, risk, or volatility fitting applications is a plus
• Advanced degree in Computer Science, Mathematics, Physics, Financial Engineering, or a related field
• Excellent communication skills and the ability to work effectively with a wide range of stakeholders
• Strong ownership, sound judgment under pressure, attention to detail, and the ability to manage multiple priorities in a fast-paced environment