The Backbone Network Engineer will design, implement, and optimize global backbone infrastructure for high-speed trading operations, collaborating on capacity planning and troubleshooting.
We are seeking a highly skilled Backbone Network Engineer to join our global network team. In this role, you will design, implement, and optimize the backbone infrastructure that underpins our global trading operations. You'll work closely with engineers worldwide to ensure our network continues to deliver the ultra-low latency, high availability, and robust security required to maintain our competitive edge.
Core Responsibilities:
Skills and Experience:
While this is a hybrid position, we expect an in-office presence in our Chicago office 3-4 times per week
Core Responsibilities:
- Design and optimize backbone infrastructure for high-speed, low-latency data transmission and scalability.
- Deploy and configure high-performance routing and optical hardware to minimize congestion and maximize availability.
- Engineer low-latency routing paths between data centers, trading venues, and counterparties.
- Proactively detect, troubleshoot, and resolve network issues using advanced monitoring and analysis tools.
- Plan and scale backbone capacity to support global growth.
- Partner with trading, development, and infrastructure teams to integrate network changes seamlessly into production.
- Collaborate globally to maintain documentation, policies, and operational standards.
Skills and Experience:
- 5+ years of experience in network engineering, with a focus on backbone or large-scale infrastructure.
- Deep knowledge of routing protocols (BGP, IS-IS, MPLS, PIM, Segment Routing) and traffic engineering.
- Expertise with routers, switches, and optical networking technologies (DWDM/ONS).
- Strong troubleshooting skills across LAN, unicast/multicast routing, and packet-level analysis.
- Experience with network automation and scripting (Python, Bash, Ansible).
- Proven ability to solve complex problems quickly and effectively.
- Strong communication skills for cross-team collaboration.
- Willingness to participate in on-call rotations during trading hours and critical events.
While this is a hybrid position, we expect an in-office presence in our Chicago office 3-4 times per week
Top Skills
Ansible
Bash
Bgp
Dwdm
Is-Is
Mpls
Ons
Optical Networking Technologies
Pim
Python
Routers
Segment Routing
Switches
Similar Jobs at IMC Trading
.png){kind=avatar}
Fintech • Machine Learning • Software • Financial Services
The Learning Experience Designer will create innovative learning solutions to improve performance and leadership capabilities, managing projects and collaborating with stakeholders.
Top Skills:
Ai Video Creation ToolsArticulate StorylineDoceboRise
Fintech • Machine Learning • Software • Financial Services
The Linux Engineer will manage and automate Linux infrastructure at scale, troubleshoot issues, enhance tools, and improve workflows in a mission-critical environment.
Top Skills:
AnsibleBashDockerGitGrafanaHieraKubernetesLinuxPrometheusPuppetPython
Fintech • Machine Learning • Software • Financial Services
As a Technical Product Manager, you will lead the development of trader-facing tools, collaborating with traders and engineers to enhance workflows and decision-making tools in trading.
Top Skills:
GuisTrading Systems
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
