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Location
In office (Hong Kong)

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on May 13, 2026. Millennium Management scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Millennium Management is a global, diversified alternative investment firm and one of the largest multi-strategy hedge fund managers. It allocates capital to hundreds of independent portfolio management teams trading fundamental equity, fixed income, commodities and quantitative strategies under centralized risk management. The firm was founded in 1989 by Israel Englander and is headquartered in New York.
Platform / Site Reliability Engineer

The successful candidate will join a team that develops, maintains and supports the Equity Derivatives platform/infrastructure at MLP. They will work hands-on with other developers, quants and production support teams to improve reliability, automation and operational scalability. Experience working with Python, Groovy or C++ and in a Unix/Linux environment is a must, as is experience with Docker/Kubernetes and messaging middleware such as Kafka/Solace. Experience working on equity derivatives platforms would be beneficial. Must have excellent communication skills and be a team player.

Principal Responsibilities:

  • Build and maintain internal platforms used by Equity Derivatives PMs, quants and technology teams
  • Develop robust, automated tooling to streamline deployment, configuration management, and failover procedure
  • Write, support, maintain, and test code following best practices, including unit testing, documentation, and automation within standard CI/CD processes.
  • Conduct in-depth profiling of application stacks to identify and eliminate latency bottlenecks, driving improvements across the platform
  • Apply AI-enabled approaches to improve data validation, anomaly detection and support automation
  • Provide Level 2 support, troubleshooting, and performance tuning for production systems

Qualifications/Skills:

  • Hands-on experience with languages such as Python, Groovy or C++ is required
  • Experience of Kubernetes, Docker, and cloud platforms is required
  • Experience with messaging middleware platforms like Kafka / Solace is desired
  • Experience in working with Equity Derivatives Pricing, Risk or vol fitting applications is desired
  • Advanced degree in Computer Science, Mathematics, Physics, Financial Engineering or equivalent.
  • Ability to maintain composure under pressure and to communicate effectively with various stakeholders
  • Self-starter and critical thinker, takes ownership of own projects and makes improvement suggestions for the entire infrastructure.
  • Proactive, assertive and attentive to details.
  • Can handle several projects with different priorities at the same time in a fast-paced environment
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