Low-Latency Network Engineer — Scale & Automate Colos

G-Research; Greater London; On-site; GBP 70,000 - 110,000; Full time

Benefits offered by this job

30 days leave

Lunch provided

Pension contributions

Healthcare

Cycle-to-work

Company events

Barista bar

Casual dress code

Job summary

G-Research in London seeks a highly skilled low-latency network engineer to join the Colo Infrastructure team. You will design and build highly available networks and the tooling to deploy and monitor them, supporting a platform used for cutting-edge quantitative research.

You will optimise latency, implement automation with Git, Python, Jenkins and Ansible, and collaborate with platform and development teams to raise reliability and speed across the firm's trading tech.

Qualifications

• Designing and building highly available, mission critical networks.
• Optimising low latency networks (layer 1 switching, RF, LEO, dark fibre).
• Automation and operators to build and extend the infrastructure.

Responsibilities

• Designing and building new co-location network solutions to meet the needs of the platform
• Optimise the performance, latency and throughput of the infrastructure
• Lifecycle management and monitoring of Colo Network environment
• Developing automation and operators to build and extend the infrastructure
• Working with other platform and development teams to define standards and onboard new capabilities
• Contributing to incident response and production reliability
• On-call responsibilities for the most critical parts of the infrastructure

Skills

Low-latency networking

Network design

Colo infrastructure

Automation tooling

Git

Python

Jenkins

Ansible

Tools

Git

Python

Jenkins

Ansible

Job description

G-Research in London seeks a highly skilled low-latency network engineer to join the Colo Infrastructure team. You will design and build highly available networks and the tooling to deploy and monitor them, supporting a platform used for cutting-edge quantitative research.

You will optimise latency, implement automation with Git, Python, Jenkins and Ansible, and collaborate with platform and development teams to raise reliability and speed across the firm's trading tech.