Site Reliability Engineer - Tribus

ZipRecruiter; London; On-site; GBP 150,000 - 200,000; Full time

Job summary

A global quantitative trading firm seeks a skilled Site Reliability Engineer to build and support low-latency trading systems. This high-impact role involves designing resilient infrastructure and ensuring real-time trading performance across global markets, offering competitive compensation.

Qualifications

• Strong experience in Linux systems administration.
• Proficiency in Python is essential.
• Experience with Docker and Kubernetes.

Responsibilities

• Design and manage infrastructure for trading systems.
• Develop CI/CD tooling and automation.
• Collaborate with engineers to ensure performance.

Skills

Linux systems administration

Networking fundamentals

Python

Containerisation

Orchestration tools

Distributed systems

Real-time performance

Low-latency requirements

Job description

Job Description

A global quantitative trading firm is looking to hire a skilled Site Reliability Engineer to help build and support the next of its low-latency trading systems. Leading compensation packages on offer. - $400 - 800k

This is a hands-on, high-impact role that sits at the intersection of software engineering and infrastructure, where your work directly supports real-time trading performance across global markets.

Key Responsibilities

• Design, build, and manage scalable, resilient infrastructure to support trading and research systems.
• Develop tooling for observability, CI/CD pipelines, and automation.
• Collaborate closely with software engineers, researchers, and traders to ensure performance and reliability.
• Implement best practices in monitoring, alerting, capacity planning, and incident response.
• Proactively identify and resolve system issues to minimize downtime.

Requirements

• Strong experience in Linux systems administration and networking fundamentals.
• Proficiency in python is a must.
• Experience with containerisation and orchestration tools (Docker, Kubernetes).
• Understanding of distributed systems, real-time performance, and low-latency requirements.
• Exposure to public cloud (AWS, GCP, Azure) a plus, but not essential.