> Markdown version of [/jobs/ext/3021614-software-engineer-observability-instrumentation](https://www.wearedevelopers.com/jobs/ext/3021614-software-engineer-observability-instrumentation). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer - Observability Instrumentation - **Company:** Eventsg-research - **Location:** London, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, C Sharp (Programming Language), Cloud Engineering, Software Debugging, Python (Programming Language), Site Reliability Engineering Practices, Prometheus, Backend, Kubernetes, Terraform - **Published:** September 21, 2026 - **Apply:** https://www.apply4u.co.uk/jobs/software-engineer-observability-instrumentation/47820902 ## About the Role AI assisted engineering to accelerate productivity and valueScaling and improving our telemetry backend systems and pipelinesImproving incident response with better telemetry coverageParticipating on the out of hours on-call rotationWho 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 guidanceProgramming skills in C# and/or Python with a good understanding of software architectureHands-on experience with OpenTelemetry SDKs, instrumentation and CollectorsProficiency in Kubernetes and cloud-native observabilityGood understanding of metrics, logs and traces, and how they are used by engineering teams to debug and operate servicesDevOps tooling experience using tools such as Terraform, ArgoCD, Helm or JenkinsInterest in AI engineering and SRE practices to improve incident response and RCADesirable but not essential experience includes:Prometheus/PromQL ## 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 roleThe 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 responsibilitiesKey responsibilities of the role include:Extending and maintaining OpenTelemetry SDKs, libraries and CollectorsBuilding and supporting instrumentation paths across Kubernetes and non-Kubernetes workloadsEmbedding observability standards across platform and application teamsLeveraging AI and