Senior Network Engineer - Low Latency Trading
$200k - $300kHudson River Trading
The Networks team designs, builds and maintains all the communications infrastructure that allows our high-capacity, low-latency trading and data research environments to run 24/7. This network spans over 25 countries and 100 locations. We are looking for a Senior Network Engineer with experience designing and managing large environments to fulfill the high-performance and availability requirements of a premiere algorithmic trading firm operating in global financial markets. This position requires both project management and deep technical skills. Working together with some of the brightest minds in our industry, you’ll be responsible for everything from product selection and design to routing configuration and troubleshooting. You will work closely with our Systems and Trading Operations teams as well as others at HRT to build, manage, and monitor our low-latency trading network. You’ll have broad responsibilities with freedom to analyze and solve problems, and your solutions will have an immediate impact on our worldwide operations. We’re looking for someone with a love for technology and an excitement for tackling big picture problems. You will work on a wide variety of projects to enhance the performance and capacity of the global trading and research platforms and contribute to both high-level strategy and the technical nitty-gritty of our global network architecture. Qualifications
- BS in Computer Science, Electrical Engineering, or related IT field
- 5-10 years of relevant experience, preferably in low-latency and
- Experience with Unix/Linux command line utilities and networking stack
- Excellent troubleshooting skills on a wide range of networking issues,
- You have excellent collaboration skills and a willingness to admit mistakes.
- Familiarity with firewalls (including Cisco, Palo Alto, Fortinet), VPNs and
- Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
- Familiarity with public cloud networks, such as AWS, GCP, Azure, is desirable
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