We tackle the most complex problems in quantitative finance by bringing scientific clarity to financial complexity.
From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas.
As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm.
Take the next step in your career.
The roleG-Research is going through an exciting period of growth in our colocation and low-latency platform. As part of our transformation, we are looking for a highly-skilled network automation engineer to join our Colo Infrastructure team.
The team manage a highly available colocation network. You will design and build automation solutions that enable rapid deployment of new infrastructure and efficient management of existing infra whilst maintaining reliable operations.
Key responsibilities of the role include:
- Building and evolving automation frameworks for network provisioning and lifecycle management
- Developing infrastructure-as-code solutions using Python, Ansible, Terraform and Jinja2
- Integrating network automation into CI/CD pipelines for reliable, repeatable deployments
- Creating APIs and self-service tooling for engineering teams
- Implementing observability and telemetry solutions for performance and reliability
- Partnering with network, platform and security teams to deliver resilient, scalable systems
- Contributing to incident response and production reliability
- On-call responsibilities for the most critical parts of the infrastructure
We’re looking for a skilled network engineer with technical experience of managing high-performance, low-latency, scalable and resilient network infrastructure solutions.
The ideal candidate will have the following skills and experience:
- Confident with Python and solid engineering fundamentals across testing, version control and CI/CD
- Experience with infrastructure-as-code and automation tools such as Ansible, Terraform and Jinja2; also must have experience leveraging AI tools, such as Claude Code
- Familiarity with Docker and Kubernetes
- Exposure to monitoring, observability or telemetry in distributed systems
- Pragmatic problem solver who can operate in ambiguity and take ownership
- Comfortable working in collaborative, fast-paced engineering teams
- Deep understanding of networking fundamentals and ideally experience in network engineer in financial markets
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 30 days’ annual leave
- 9% company pension contributions
- Informal dress code and excellent work/life balance
- Comprehensive healthcare and life assurance
- Cycle-to-work scheme
- Monthly company events
G-Research is committed to cultivating and preserving an inclusive work environment. We are an ideas-driven business and we place great value on diversity of experience and opinions.
We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section
Skills Required
- Proficiency in Python and solid engineering fundamentals (testing, version control, CI/CD)
- Experience with infrastructure-as-code and automation tools such as Ansible
- Experience with infrastructure-as-code and automation tools such as Terraform
- Experience with Jinja2 templating
- Experience leveraging AI coding tools (example: Claude Code)
- Familiarity with Docker and Kubernetes
- Exposure to monitoring, observability or telemetry in distributed systems
- Deep understanding of networking fundamentals, low-latency and colocation networking
- Experience in network engineering within financial markets
- Pragmatic problem solving and ability to operate in ambiguity
- Comfortable working in collaborative, fast-paced engineering teams
- Willingness to participate in on-call rotation for critical infrastructure
What We Do
G-Research is a leading quantitative research and technology firm, with offices in London and Dallas. We hire the brightest minds in the world to tackle some of the biggest questions in finance. We pair this expertise with machine learning, big data, and some of the most advanced technology available to predict movements in financial markets. We take pride in our dynamic, flexible and highly stimulating culture where world-beating ideas are prized and rewarded. We employ some of the best people in their field and are keen to nurture their talent in a supportive working environment.
