Platform Engineer (C# / Python) – Observability & SDKs

Arcus Search; Greater London; Hybrid; GBP 60,000 - 90,000; Full time

Job summary

Arcus Search is seeking a Software Engineer with a platform engineering mindset. You’ll work across C# and Python on SDKs, libraries, and shared components, contributing to observability tooling and standardized patterns across teams.

You’ll help shape distributed systems, automation, and reliable backend infrastructure, collaborating with multiple teams to improve telemetry, reliability, and system insight in a cloud-native environment.

Qualifications

• Strong software engineering background in C# and/or Python.
• Experience building SDKs, libraries, or internal developer tooling.
• Familiarity with observability concepts (OpenTelemetry exposure, tracing, metrics, logging).
• Experience working in distributed systems or platform-style environments.
• Solid understanding of software design patterns and reusable architecture.
• Comfortable working across multiple teams and systems.

Responsibilities

• Build and maintain SDKs, libraries, and shared engineering components.
• Work on cross-team platform solutions and engineering standards.
• Contribute to observability tooling and instrumentation (OpenTelemetry exposure required).
• Improve engineering consistency through reusable patterns and automation.
• Support distributed systems and backend engineering initiatives.
• Work across C# and Python environments.
• Collaborate with engineers to improve reliability, telemetry, and system insight.

Skills

C#

Python

SDKs / internal tooling

Observability concepts

Distributed systems

Design patterns

Cross-team collaboration

Tools

Kubernetes

Job description

Arcus Search is seeking a Software Engineer with a platform engineering mindset. You’ll work across C# and Python on SDKs, libraries, and shared components, contributing to observability tooling and standardized patterns across teams.

You’ll help shape distributed systems, automation, and reliable backend infrastructure, collaborating with multiple teams to improve telemetry, reliability, and system insight in a cloud-native environment.