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Low Latency Trading Network Engineer Jobs (NOW HIRING)

MatchPoint Solutions

Low Latency Network Engineer

$70 - $75/hr

Low Latency Network Engineer Location: Remote Duration: 12 months Rate: $$70-75/hr on W2 Overview ... ultra-low/low latency to support intraday trading and direct market access systems, enabling ...

Atto Trading

Low-Latency Developer

New York, NY

$150K - $300K/yr

As a Low-Latency Developer, you will be responsible for designing, optimizing, and maintaining high ... trading team is a significant plus. Technical Skills: * Deep knowledge of HFT platforms: networking ...

Qube Research & Technologies

Network Engineer

New York, NY · On-site

$170K - $240K/yr

The trading infrastructure is a combination of wide area connectivity and ultra-low latency trading ... As a senior network engineer, you will partner closely with the project management teams and work ...

Hyphen Connect Limited

$109K - $149K/yr

Expert-level proficiency in C++ or Rust programming. * Strong background in high-frequency trading (HFT) or market making. * Experience with low-latency system design and optimization. * Solid ...

Hyphen Connect Limited

$128K - $168K/yr

As the Trading Gateway Engineer, responsibilities include implementing core connectivity systems to expand the trading engine into a global, low-latency network. This involves building foundational ...

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How much do low latency trading network engineer jobs pay per year?

As of Jun 11, 2026, the average yearly pay for low latency trading network engineer in the United States is $109,040.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $133,500.00 per year, depending on experience, location, and employer.

What is the difference between Low Latency Trading Network Engineer vs Network Engineer?

AspectLow Latency Trading Network EngineerNetwork Engineer
Primary FocusOptimizing trading networks for minimal latencyDesigning and maintaining general network infrastructure
CertificationsCCNA, CCNP, Cisco certifications, specialized trading network trainingCCNA, CompTIA Network+, Cisco certifications
Work EnvironmentFinancial trading firms, hedge funds, high-frequency trading environmentsIT departments across various industries
Industry UsageFinance, trading, investment firmsTelecommunications, corporate IT, service providers

While both roles involve network infrastructure, a Low Latency Trading Network Engineer specializes in configuring and optimizing networks for ultra-fast trading execution, whereas a Network Engineer manages broader network systems across industries. The former requires specific knowledge of trading environments and latency reduction techniques.

What are the primary challenges faced by Low Latency Trading Network Engineers in maintaining optimal network performance?

Low Latency Trading Network Engineers often face the challenge of minimizing network delays while maintaining high reliability and security. They must constantly monitor and fine-tune network devices, troubleshoot latency spikes, and quickly address hardware or configuration issues that could impact trading performance. Additionally, collaborating closely with software developers and traders to implement custom solutions and support rapid deployment of new technologies is common. The fast-paced and high-stakes environment requires strong problem-solving skills and the ability to work under pressure.

What are Low Latency Trading Network Engineers?

Low Latency Trading Network Engineers are specialized IT professionals who design, implement, and maintain high-speed, low-latency network infrastructures for financial trading firms. Their main goal is to optimize network performance and reduce delays, ensuring that trading systems can execute transactions as quickly as possible. These engineers work closely with traders and software engineers to identify bottlenecks and implement solutions using advanced networking hardware, protocols, and monitoring tools. They play a crucial role in giving trading firms a competitive edge by minimizing the time it takes to send and receive market data and orders.

What are the key skills and qualifications needed to thrive as a Low Latency Trading Network Engineer, and why are they important?

To thrive as a Low Latency Trading Network Engineer, you need deep expertise in network engineering, protocols (TCP/IP, UDP), and a background in computer science or a related field. Familiarity with low-latency hardware, network performance monitoring tools, and certifications such as CCNP or CCIE are commonly required. Strong analytical thinking, problem-solving abilities, and effective communication skills help in troubleshooting and collaborating with cross-functional teams. These skills are crucial for optimizing network performance and reliability, which directly impacts trading speed and profitability.
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Low Latency Trading Network Engineer jobs near you
Senior Network Engineer - Low Latency Trading

Senior Network Engineer - Low Latency Trading

Hudson River Trading

Chicago, IL • On-site

$107K - $146K/yr

Full-time

Posted 22 days ago

Job description

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 high-frequency trading environments.
  • In depth understanding of common layer 2 and layer 3 network protocols and best practices; working knowledge of OSPF, BGP, PIM, IGMP
  • Experience managing Arista, Cisco, and other common networking devices on a day-to-day basis
  • Familiarity with low-latency microwave networks and/or optical transmission systems, such as Adva, Ciena is desirable
  • Experience in designing enterprise networks, capacity planning, and full lifecycle project management
  • Experience with packet decoding and analysis tools such as tcpdump and Wireshark
  • Excellent oral and written communication skills: able to distill complicated issues into clear and concise terms and to create and maintain effective technical documentation
  • Experience with Unix/Linux command line utilities and networking stack
  • Excellent troubleshooting skills on a wide range of networking issues, including common ethernet LAN problems, multicast market data distribution, and global WAN
  • Understanding of basic power consumption and cooling issues in a datacenter environment
  • Knowledge of fiber optics technology and cabling standards. Ability to sort through specs and make recommendations on appropriate purchases
  • Willingness and ability to solve small technical problems in the field yourself.
  • You have excellent collaboration skills and a willingness to admit mistakes.
  • Familiarity with firewalls (including Cisco, Palo Alto, Fortinet), VPNs and NAT
  • Familiarity with configuration management tools, such as Ansible or Salt is desirable
  • Familiarity with Python, Prometheus, Grafana, ELK, GitHub is desirable
  • Familiarity with public cloud networks, such as AWS, GCP, Azure, is desirable

The estimated base salary range for this position is 200,000 to 300,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package.
Culture
Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading.
At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We're a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization-from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we're friends and colleagues - whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office.
Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we'd love to get to know you.
Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.

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