Observability Engineer

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 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 pipes 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.

Knowledge of and experience running Open Telemetry at scale, creating SDKs and libraries serving a wide variety of applications and services, is a strong plus.

Key responsibilities of the role include:

• Architecting, scaling and maintaining a broad range of observability backends

• Extending and maintaining Open Telemetry, including collectors and SDKs

• 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

The ideal candidate will have the following skills and experience:

• 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 (e.g. Terraform, ArgoCD, Helm, Jenkins)

• Experience with metrics, logs and tracing backends

• Scripting in Go, Python, or similar

• Industry background in Observability or SRE

• Desirable but not essential experience includes 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