Benefits
- Bonus
Skills
Argocd
Cloud
Cloud-native
Distributed Systems
Helm
Jenkins
Kubernetes
Observability
Opensearch
Opentelemetry
Nice to have
Prometheus
Python
Full job description
Description
Python Software Engineer - Observability Engineering - Quant Research
(You must have the right to work in the UK to be considered for this position)
London (Hybrid) | c.£150k base + bonus
- I’m working with a top-tier quant trading firm building one of the most advanced automated research and trading platforms globally.
- They’re looking for a Python Software Engineer to join their Observability Engineering team, building the telemetry and monitoring infrastructure that underpins hundreds of services across the organisation.
The Role
- Build and maintain systems that handle cloud-scale volumes of telemetry data
- Extend and maintain OpenTelemetry collectors, SDKs and exporters
- Design and improve telemetry pipelines and observability backends
- Work with engineering teams to implement instrumentation standards and “Golden Paths”
- Improve incident response and operational visibility through better telemetry coverage
- Build tooling and libraries that improve developer productivity and platform observability
Tech Environment
- Python
- Kubernetes
- OpenTelemetry
- Prometheus / PromQL
- VictoriaMetrics
- OpenSearch
- GrafanaTerraform, ArgoCD, Helm, Jenkins
Requirements
What they’re looking for
- Strong Python backend engineering experience
- Experience working in Kubernetes / cloud-native environments
- Interest or experience in observability, monitoring or telemetry systems
- Comfortable building distributed systems and internal developer tooling
- Strong problem-solving skills and the ability to collaborate across engineering teams
If you’re interested in building large-scale observability platforms in a high-performance engineering environment,
Apply on WhatJobs
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