Python Developer - Trading Team

JR United Kingdom; Slough; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading global High-Frequency Trading firm seeks a skilled Python Developer in Slough. The role involves designing and maintaining tools for system health management, automating infrastructure, and optimizing performance of low-latency trading systems. The ideal candidate will have strong Python, Linux, and DevOps skills, with a focus on operational excellence.

Qualifications

• Strong Python skills for scripting and automation.
• Experience with Linux and DevOps toolchains is essential.
• Familiarity with low-latency environments and performance debugging.

Responsibilities

• Design, develop, and maintain Python-based tools for system management.
• Automate infrastructure using DevOps practices.
• Take ownership of the operational lifecycle of trading systems.

Skills

Python

DevOps

Automation

Linux

Problem-Solving

Job description

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Our client, a leading global High-Frequency Trading firm, is seeking a skilled Python Developer with a passion for automation and operational excellence to join one its Trading Teams. You’ll work across infrastructure, development, and real-time operations to support and maintain ultra-low-latency systems with zero downtime tolerance.

Key Responsibilities:

• Design, develop, and maintain Python-based tools for deployment, monitoring, and system health management.
• Automate both cloud and on-premises infrastructure using modern DevOps practices such as Terraform, Ansible, and CI/CD pipelines.
• Take full ownership of the operational lifecycle of trading systems, including deployment, observability, and incident response.
• Optimize performance and reliability of systems operating across a globally distributed infrastructure.
• Work closely with traders and core developers to identify performance bottlenecks and enhance operational workflows.

Ideal Candidate:

• Strong Python skills with a bias toward clean, reliable scripting and automation.
• Deep experience with Linux, containers, and DevOps toolchains.
• Familiarity with low-latency environments and performance debugging.
• Clear, concise communication and a problem-solving mindset.