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 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 At G-Research, we are passionate about the intersection of finance, technology, and the future. We offer a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. We are proud to employ some of the best people in their field and to nurture their talent in our collaborative working environment.

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19 Jan, 2026

Performance Engineering Manager

Leadership
Engineering

London, United Kingdom

Salary not listed

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