Python Software Engineer - Intraday Trading

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, the Information Technology organization develops flexible, scalable technology and advanced proprietary systems, including the next generation of analytical and trading capabilities. Within this organization, EQRT Services (PM Tools) is a front-office team responsible for the design, development, and support of technology platforms that enable the business to research and develop strategies, create simulated trade books, run backtests, and assess risk and factor analytics across live and paper portfolios on an intraday and end-of-day basis.

What You'll Do
• Partner closely with R&D and application development teams to research, design, prototype, and implement next-generation high-performance real-time analytics and market data solutions
• Help build and enhance a market-leading portfolio management platform in close partnership with business users
• Develop and support intraday analytics platforms used across the firm's risk and portfolio management systems
• Work across a range of technologies to deliver scalable, high-performance solutions for real-time trading and analytics workflows
• Contribute to application development, project delivery, and platform architecture for highly scalable real-time systems

What You Bring
• 5+ years of experience in Python application development, with a strong understanding of Linux operating systems
• Experience with grid scheduling and compute orchestration for real-time compute management at scale, including technologies such as SLURM
• Strong understanding of event-driven architecture and experience with messaging and caching technologies such as Kafka, Solace, Pulsar, Memcache, and Redis
• Experience building AI RAG and MCP agents
• Experience with monitoring and observability tools such as Datadog and the ELK stack
• Strong knowledge of database technologies, including advanced SQL, NoSQL, and time-series databases such as Kdb
• Excellent grasp of data structures and algorithms, with the ability to learn and adopt new technologies quickly
• Strong interest in financial markets and working directly with investment professionals; experience with large-scale real-time portfolio analytics tools, cloud platforms, containerization technologies such as Docker and Kubernetes, or multi-threaded C++ is a plus