Software Engineer — Observability Instrumentation
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 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 to help make observability easier to adopt across the organisation. This role focuses on the producer side: instrumentation patterns, OpenTelemetry SDKs and the collector configurations that help teams emit consistent, high-quality telemetry.
This role is suited to someone who enjoys creating leverage through shared engineering patterns rather than building a single product feature set. You will use your engineering and emerging AI engineering skills to improve how teams instrument, understand and operate their services across the firm.
You will help improve our service-level visibility, working closely with application and infrastructure teams enabling golden paths for instrumentation across C#, Python and Kubernetes-based services, and ongoing development of our observability capabilities.
Key responsibilities
Key responsibilities of the role include:
Extending and maintaining OpenTelemetry SDKs, libraries and Collectors
Building and supporting instrumentation paths across Kubernetes and non-Kubernetes workloads
Embedding observability standards across platform and application teams
Leveraging AI and AI assisted engineering to accelerate productivity and value
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:
Strong problem-solving skills and the ability to turn standards into usable libraries, examples and guidance
Programming skills in C# and/or Python with a good understanding of software architecture
Hands-on experience with OpenTelemetry SDKs, instrumentation and Collectors
Proficiency in Kubernetes and cloud-native observability
Good understanding of metrics, logs and traces, and how they are used by engineering teams to debug and operate services
DevOps tooling experience using tools such as Terraform, ArgoCD, Helm or Jenkins
Interest in AI engineering and SRE practices to improve incident response and RCA
Desirable but not essential experience includes:
Prometheus/PromQL, VictoriaMetrics, OpenSearch, Grafana or similar observability backends
Auto-instrumentation, distributed tracing, structured logging or trace/metric correlation
Kafka or telemetry pipeline architectures
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
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