Senior SRE: Scalable Infra, Observability & Automation

Radley James; England; On-site; GBP 180,000 - 220,000; Full time

Benefits offered by this job

Advanced infrastructure environment

Highly technical engineering culture

Long-term career growth

Base salary up to £200,000

Annual bonus 30–100%+

Job summary

Radley James is partnering with one of the world's leading quantitative trading firms to hire a Site Reliability Engineer who thrives on solving complex infrastructure challenges at scale.

You will design scalable monitoring and observability platforms, develop automation and infrastructure tooling using Python and Go, and collaborate with infrastructure, networking and engineering teams to optimize a large-scale, ultra-low latency environment.

Qualifications

• 5+ years' experience as an SRE or similar role.
• Strong Python and/or Go development skills.
• Experience with Kafka, RabbitMQ or other streaming technologies.
• Kubernetes, containers and modern CI/CD tooling.
• Experience on large-scale production infrastructure.
• Exposure to Rust or C/C++, ClickHouse/Cassandra/Bigtable, or networking advantageous.

Responsibilities

• Design and build scalable monitoring and observability platforms.
• Develop automation and infrastructure tooling using Python and Go.
• Improve the resilience and performance of critical production systems.
• Investigate complex performance issues across distributed software stacks.
• Work with infrastructure, networking and engineering teams to optimise large-scale environments.
• Build and enhance deployment, configuration management and operational tooling.

Skills

Python

Go

Kubernetes

CI/CD

Observability

Distributed systems

Kafka/RabbitMQ

Networking

Rust/C/C++

Tools

Docker

CI tooling

Job description

Radley James is partnering with one of the world's leading quantitative trading firms to hire a Site Reliability Engineer who thrives on solving complex infrastructure challenges at scale.

You will design scalable monitoring and observability platforms, develop automation and infrastructure tooling using Python and Go, and collaborate with infrastructure, networking and engineering teams to optimize a large-scale, ultra-low latency environment.