Observability Engineer

Overview

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.

The Observability Engineering Team manages the doors – both entry and exit – to the telemetry backends at G‑Research, ensuring our engineers can effectively produce and consume telemetry for their services. As an Observability Engineer, you’ll help make observability seamless for developers and platform teams by building pipelines to ingest and route data in predictable, composable ways, as well as visualising that data after the fact.

You’ll have deep experience across observability stacks, a clear understanding of the unique problems that come with moving cloud‑level volumes of telemetry data at scale, and excitement at the prospect of ensuring our customers have eyes into the telemetry data to run their services as efficiently as possible.

• Extending and maintaining Open Telemetry, including collectors, SDKs and exporters
• Building scalable telemetry pipelines
• Contributing to Golden Path SDKs and auto‑instrumentation
• Ensuring Kubernetes workloads are fully observable and resilient
• Embedding observability standards across platform and application teams
• Improving incident response with better telemetry coverage
• Providing external industry observability experience and input to our long‑term roadmap
• Participating in the out of hours on‑call rotation

• Operating/onboarding SaaS Observability platforms at scale, such as Data Dog, New Relic, Dynatrace etc.
• Strong hands‑on experience with Open Telemetry
• Familiarity with public cloud infrastructure, ideally AWS
• Proficiency in Kubernetes and Dev Ops tooling (Terraform, ArgoCD, Helm, Jenkins)
• Experience with metrics, logs and tracing backends
• Coding in Go, Python, or similar
• Industry background in Observability or SRE

• Profiling (eBPF, Pixie, Parca)
• Synthetic monitoring, AI‑observability tools and Kafka

• 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

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.