Python Software Engineer

Arcus Search; Greater London; Hybrid; GBP 135,000 - 165,000; Full time

Benefits offered by this job

Health insurance

Job summary

Arcus Search in London is seeking a Python Software Engineer for Observability Engineering within Quant Research. You will help design and build telemetry platforms that underpin hundreds of services, focusing on scalable data pipelines, collectors, and backends.

Ideal candidates have strong Python backend experience, experience with Kubernetes and cloud-native environments, and a passion for observability and developer tooling.

Qualifications

• Strong Python backend engineering experience.
• Experience 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 and collaboration across teams.

Responsibilities

• Build and maintain systems handling cloud-scale telemetry data.
• Extend OpenTelemetry collectors, SDKs and exporters.
• Design telemetry pipelines and observability backends.
• Implement instrumentation standards and Golden Paths.
• Improve incident response and operational visibility through telemetry.
• Build tooling to boost developer productivity and platform observability.

Skills

Python backend engineering

Kubernetes / cloud-native

Observability / telemetry systems

Distributed systems

Developer tooling

Tools

OpenTelemetry

Prometheus

Grafana

VictoriaMetrics

OpenSearch

Terraform

ArgoCD

Jenkins

Helm

PromQL

Job 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

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,