G

G-Research

Quantitative finance research applying rigorous methods

Network Automation Engineer

DevOps EngineeringConfirmed live in the last 24 hours
Full-timeLondon, UKIn-person

About the Job

Requirements

  • Confident use of Python and solid engineering fundamentals across testing, version control, and continuous integration and continuous delivery.
  • Experience with infrastructure-as-code and automation tools such as Ansible, Terraform, and Jinja2.
  • Experience leveraging artificial intelligence tools such as Claude Code.
  • Familiarity with Docker and Kubernetes.
  • Exposure to monitoring, observability, or telemetry in distributed systems.
  • Deep understanding of networking fundamentals.
  • Ability to operate in ambiguity and take ownership.
  • Ability to work collaboratively in fast-paced engineering teams.

Responsibilities

  • Build and evolve automation frameworks for network provisioning and lifecycle management.
  • Develop infrastructure-as-code solutions using Python, Ansible, Terraform, and Jinja2.
  • Integrate network automation into continuous integration and continuous delivery pipelines for reliable, repeatable deployments.
  • Create application programming interfaces and self-service tooling for engineering teams.
  • Implement observability and telemetry solutions for performance and reliability.
  • Partner with network, platform, and security teams to deliver resilient, scalable systems.
  • Contribute to incident response and production reliability.
  • Provide on-call support for the most critical parts of the infrastructure.

Desired Qualifications

  • Experience as a network engineer in financial markets.

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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