Observability Engineer
G Research ·
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 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 backendsExtending and maintaining OpenTelemetry, including collectors and SDKsBuilding scalable telemetry pipelinesContributing to Golden Path SDKs and auto-instrumentationEnsuring Kubernetes workloads are fully observable and resilientEmbedding observability standards across platform and application teamsImproving incident response with better telemetry coverageProviding external industry observability experience and input to our long-term roadmapWho 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 OpenTelemetryFamiliarity with public cloud infrastructure, ideally AWSProficiency in Kubernetes and DevOps tooling (e.g.
Terraform, ArgoCD, Helm, Jenkins)Experience with metrics, logs and tracing backendsScripting in Go, Python, or similarIndustry background in Observability or SREDesirable but not essential experience includes profiling (eBPF, Pixie, Parca), synthetic monitoring, AI-observability tools and KafkaWhy should you apply?
Highly competitive compensation plus annual discretionary bonusLunch provided (via Just Eat for Business) and dedicated barista bar35 days' annual leave9% company pension contributionsInformal dress code and excellent work/life balanceComprehensive healthcare and life assuranceCycle-to-work schemeMonthly company eventsG-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 sectionSummaryLocation: London, UKType: Full time