Trading Production SRE - Low-Latency, Automated Ops

Oxford Knight; London; On-site; GBP 90,000 - 150,000; Full time

Job summary

Oxford Knight in London is seeking a Trading Operations Production Support Engineer to maintain and scale low-latency trading systems across global venues, collaborating with traders and development teams to deploy, monitor, and optimize infrastructure.

You will troubleshoot incidents on high-frequency environments, automate management tasks with Python and CI/CD pipelines, and drive reliability improvements while ensuring readiness for major events.

Qualifications

• Experience managing complex distributed Linux systems.
• Proficiency with CI/CD tooling and Python scripting.
• Experience with relational databases (e.g. PostgreSQL).
• Ability to drive system improvements across global teams.

Responsibilities

• Provide technical expertise and support to high-frequency trading floors, troubleshooting incidents in a fast-paced environment.
• Deploy, maintain, and monitor trading applications for stability and performance.
• Review incidents to identify recurring themes and drive automation improvements.
• Coordinate deployments of new trading products and systems for events and actions.
• Architect and maintain services to maximize reliability within performance thresholds.
• Collaborate with developers to establish best practices for production stability.
• Set standards for configuration and deployment to minimize risks.
• Manage colocation to ensure redundancy and capacity for growth.
• Automate system management while controlling critical operations.

Skills

Linux

Networking

CI/CD tooling

Python scripting

PostgreSQL

Tools

CI/CD tooling

Job description

Oxford Knight in London is seeking a Trading Operations Production Support Engineer to maintain and scale low-latency trading systems across global venues, collaborating with traders and development teams to deploy, monitor, and optimize infrastructure.

You will troubleshoot incidents on high-frequency environments, automate management tasks with Python and CI/CD pipelines, and drive reliability improvements while ensuring readiness for major events.