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G-Research

Quantitative finance research applying rigorous methods

Network Engineer

Network Engineering & AdministrationConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Strong background as a Network Engineer in enterprise or large-scale environments.
  • Experience applying Site Reliability Engineering, observability, and automation principles to networking, using technologies such as Python, Prometheus, Grafana, OpenTelemetry, Ansible, and Jenkins.
  • Experience with Cisco and Arista switching and routing, alongside network security infrastructure including firewalls, intrusion detection and prevention systems, and network segmentation.
  • Expertise in Cisco and Arista platforms, including IOS, IOS-XR, NX-OS, and EOS.
  • In-depth understanding and hands-on experience with BGP, OSPF, EVPN, VXLAN, and MPLS.
  • Experience with network monitoring tools and predictive analysis systems.

Responsibilities

  • Own the operational performance, stability, availability, and security posture of network and network security platforms end to end.
  • Enhance observability across telemetry, alerting, and performance monitoring using tools such as Grafana, Prometheus, and ThousandEyes to enable proactive operations.
  • Implement and maintain scalable, resilient datacentre network infrastructure built on Cisco and Arista technologies.
  • Champion automation of operational tasks using Python, Ansible, Jinja2, and Git.
  • Support and extend Infrastructure-as-Code and continuous integration and continuous delivery practices for network provisioning.
  • Own break/fix and incident response for complex enterprise and campus network issues.
  • Drive incident management practices, including on-call rotation, escalation procedures, postmortems, and root-cause analysis.
  • Implement and manage WAN customer edges, with knowledge of MPLS or Segment Routing.

About the Company

G-Research

Quantitative finance research applying rigorous methods

G-Research applies scientific rigour to solve complex challenges in financial markets. It brings together world-class researchers and engineers to develop data-driven models and trading ideas, testing them through rigorous experimentation and robust infrastructure. Unlike many traditional asset managers, its culture emphasizes deep exploration, reproducibility, methodical execution, and long-term thinking. The goal is to generate alpha through disciplined, evidence-based research that informs investment decisions and advances understanding of financial markets.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
London, United Kingdom
Founded
2001

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