Observability Engineer

Observability Engineer Overview

We are seeking an Observability Engineer to join our engineering team at G-Research, where we tackle complex challenges in quantitative finance. Our London headquarters is home to world-class researchers and engineers dedicated to transforming innovative ideas into impactful results. In this role, you will play a crucial part in shaping the platforms and tools that drive our high-impact research.

The Observability Engineering Team is responsible for managing the telemetry backends at G-Research, ensuring that our engineers can efficiently produce and consume telemetry for their services. As an Observability Engineer, your mission will be to facilitate seamless observability for developers and platform teams by constructing data ingestion and routing pipelines, as well as visualizing telemetry data.

Key Responsibilities

• 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 implementing auto-instrumentation.
• Ensuring Kubernetes workloads are fully observable and resilient.
• Embedding observability standards across platform and application teams.
• Improving incident response with enhanced telemetry coverage.
• Providing external industry observability experience and input to our long-term roadmap.

Who We Are Looking For

The ideal candidate will possess the following skills and experience:

• Experience with SaaS observability platforms at scale, such as DataDog, NewRelic, or Dynatrace.
• 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 skills in Go, Python, or similar languages.
• A background in Observability or Site Reliability Engineering (SRE).
• Desirable but not essential experience includes profiling tools (eBPF, Pixie, Parca), synthetic monitoring, AI-observability tools, and Kafka.

Why You Should Apply

• Highly competitive compensation plus an annual discretionary bonus.
• Lunch provided via Just Eat for Business and a dedicated barista bar.
• 35 days of 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.
• Relocation support covering costs associated with your move and immigration, including a personal consultant and expert guidance.

Degree Requirement: Not Specified

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