Observability Engineer

G-Research; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Lunch provided

Barista bar

35 days leave

Company pension 9%

Healthcare

Cycle-to-work

Monthly events

Job summary

G-Research in London is seeking an Observability Engineer to design, scale and maintain telemetry backends supporting our research platforms. You’ll build pipelines, extend OpenTelemetry, and ensure services are fully observable at scale.

You will collaborate with platform teams, embrace Kubernetes and cloud tooling, and help shape the long-term telemetry roadmap. Ideal candidates have hands-on OpenTelemetry, dataDog/NewRelic experience, and a passion for reliable, observable systems.

Qualifications

• Experience operating SaaS observability platforms at scale in production.
• Hands-on OpenTelemetry development and integration across services.
• Strong Kubernetes and cloud tooling experience (AWS preferred).
• Proficiency in metrics, logs and tracing backends and related tooling.

Responsibilities

• Architect, scale and maintain observability backends across services.
• Extend and maintain OpenTelemetry collectors and SDKs.
• Build scalable telemetry pipelines to move data reliably.
• Contribute to Golden Path SDKs and auto-instrumentation.
• Ensure Kubernetes workloads are fully observable and resilient.
• Embed observability standards across platform teams.
• Improve incident response with deeper telemetry coverage.
• Provide external observability experience to guide long-term roadmap.

Skills

SaaS observability

OpenTelemetry

Kubernetes

Cloud infrastructure

DevOps tooling

Go/Python scripting

Tools

DataDog

New Relic

Dynatrace

Job description

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 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 OpenTelemetry 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 OpenTelemetry, 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

Who are we looking for?

The ideal candidate will have the following skills and experience:

• Operating/onboarding SaaS Observability platforms at scale, such as DataDog, NewRelic, Dynatrace etc.

• Strong hands-on experience with OpenTelemetry

• Familiarity with public cloud infrastructure, ideally AWS

• Proficiency in Kubernetes and DevOps 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

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