Summary
✨ AI‑Generated
Join a highly technical engineering team focused on building and optimizing latency-critical infrastructure. You will work with Linux-based systems, high-performance software, automation, and sophisticated infrastructure supporting demanding real-time workloads. The role offers an environment centered on technical depth, performance optimization, reliability, and continuous engineering improvement.
Highlights
Specialized engineering role focused on high-performance, latency-critical systems, with opportunities to work on sophisticated infrastructure, automation, software development, and technically demanding systems at significant scale.
Description
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 active, multi-manager business model depends on flexible, scalable technology and advanced proprietary systems.
Within that environment, the Latency Critical Trading team delivers high-performance trading capabilities through core infrastructure, software development, automation, security, and cloud-based services.
The team brings together experienced C++, Linux, networking, and SRE professionals focused on building a stable, high-performing platform for portfolio managers, researchers, and technologists, with a strong emphasis on continuous improvement, technical excellence, and collaboration.
What You'll Do
Support and maintain Linux, virtualization, and related infrastructure as part of a globally deployed engineering teamBuild, operate, and continuously improve a high-performance, low-latency trading platform in partnership with infrastructure and application support teamsIdentify, prioritize, and resolve complex incidents and service requests, while proactively addressing root causes to prevent recurrenceGather requirements, evaluate technical options, and implement solutions aligned with business and platform needsMonitor platform health and performance, investigate latency and performance issues using diagnostic tools, and drive remediationDeliver stable, repeatable, and high-performing Linux systems through automation and code-driven engineering practicesLead technical discussions, communicate clearly with stakeholders, and partner across engineering, development, and business teams to solve complex problemsProduce clear documentation, guide teammates on low-latency and high-performance computing concepts, and participate in off-hours on-call support as needed
What You Bring
5+ years of hands-on experience in financial technology services, including 3+ years supporting low-latency trading systems and scalable infrastructureDeep Linux systems engineering expertise, including performance tuning, low-latency networking, Solarflare OpenOnload, multicast networking, cgroups/cpusets, kernel parameters, and BIOS-level tuningHands-on experience with enterprise server platforms, VMware ESXi/vCenter, networking, DNS, and time-synchronization services including NTP, PTP, PPS, and WRNVIDIA GPU/CUDA experience for Linux infrastructure and performance-sensitive workloadsExperience using AI assistants in daily engineering work, including troubleshooting, coding/scripting, terminal workflows, and operational automationStrong Python and Bash scripting skills, with Ansible configuration-management experience; Chef, Puppet, and Terraform are a plusProven ability to troubleshoot across the technology stack, coordinate production changes across teams, and maintain clear documentation and operational excellence in fast-paced environmentsBachelor’s degree in Engineering, Computer Science, or a related field—or equivalent practical experience; RHCE, cloud-platform experience, and Windows–Linux interoperability exposure are a plus
