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 role
The Observability Engineering Team manages access to G-Research’s telemetry platforms, ensuring our engineering teams can effectively produce and consume telemetry for their services.
We are looking for a technically strong, customer-focused Software Engineer with a keen interest in Telemetry. You will solve unique challenges of moving cloud-scale telemetry data and make observability seamless for engineers by curating SDKs and libraries used across a wide range of services.
Working closely with engineers and researchers, you will contribute to design, build, and ongoing development of our observability capabilities, improving productivity and developer experience across the organisation.
Key responsibilities of the role include:
- Extending and maintaining OpenTelemetry Collectors, SDKs and exporters
- Working closely with teams to champion "Golden Paths" for application instrumentation
- Embedding observability standards across platform and application teams
- Scaling and improving our telemetry backend systems and pipelines
- Improving incident response with better telemetry coverage
- Participating on the out of hours on-call rotation
Who are we looking for?
The ideal candidate will have the following skills and experience:
- Willingness to learn and take on new challenges in the Observability space
- Strong Python programming skills with a good understanding of software architecture
- Proficiency in Kubernetes and cloud-native observability
- DevOps tooling experience using tools such as Terraform, ArgoCD, Helm or Jenkins
- Strong problem-solving skills with ability to work with users across different business areas
- Intellectual curiosity and a desire to learn about engineering and quant workflows
- Experience with tools such as Promethues/PromQL, VictoriaMetrics, OpenSearch or Grafana is desirable
Why should you apply?
- Highly competitive compensation plus annual discretionary bonus
- Lunch provided (via Just Eat for Business) and dedicated barista bar
- 35 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
