Global Low-Latency Network Engineering Manager

Hamilton Barnes

New York (NY)

On-site

USD 315,000 - 385,000

Full time

8 days ago

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Job summary

Hamilton Barnes, a global exchange network provider, seeks a Manager of Network Engineering to lead a team designing, building, and operating low-latency infrastructure that supports trading platforms.

The ideal candidate will own end-to-end architecture, mentor engineers, drive automation with Python and APIs, manage vendor relationships, and contribute to budgeting and capacity planning.

Qualifications

  • 10+ years in network engineering in low-latency, mission-critical environments.
  • 3+ years in leadership or management roles.
  • Deep expertise in low-latency design and deterministic performance at scale.
  • Hands-on network automation with Python and API tooling.

Responsibilities

  • Lead, mentor, and develop a high-performing network engineering team across global regions.
  • Drive strategic network initiatives from research and design through vendor evaluation and deployment.
  • Own the architecture and evolution of low-latency trading network infrastructure.
  • Partner with Principal Engineers on complex designs to raise technical standards.
  • Manage a dynamic project portfolio, reprioritizing based on business needs and risk.
  • Establish operational practices: change management, incident response, and post-implementation reviews.
  • Oversee vendor relationships, RFPs, proofs-of-concept, and design reviews.
  • Serve as senior escalation point for complex network issues.
  • Contribute to budgeting, capacity planning, and regulatory documentation.

Skills

Leadership
Mentoring
Strategic planning
Operational discipline
Network automation

Tools

Python
APIs

Job description

Hamilton Barnes, a global exchange network provider, seeks a Manager of Network Engineering to lead a team designing, building, and operating low-latency infrastructure that supports trading platforms.

The ideal candidate will own end-to-end architecture, mentor engineers, drive automation with Python and APIs, manage vendor relationships, and contribute to budgeting and capacity planning.

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