Linux Engineer ( Quant Research Infrastructure)

Overview

In this role you will design, build, and maintain a high-performance Linux-based trading and research infrastructure for a top-tier hedge fund. You will collaborate with development and research teams to solve data-intensive problems on large databases, delivering production-ready environments and operational excellence. The role offers exposure to cutting-edge tech in a fast-paced, collaborative, and performance-driven setting in London, with a hybrid work model. Your work drives reliability and scalability at the core of systematic trading.

Pay / Benefits

• bonus from day 1
• work from home 2 days a week
• competitive compensation
• relaxed, open culture
• knowledge sharing with top minds

Responsibilities

• Ensure smooth operation and stability of research, development, and trading infrastructure
• Deliver production-ready handovers for projects and deployments
• Design, build and implement new environments
• Troubleshoot and tune Linux systems to meet business needs
• Work with virtualization (KVM, VirtualBox) and Red Hat Linux
• Leverage build/deploy tools (Maven, CMake, Rake) for deployment pipelines
• Support network operating systems and monitoring (Nagios)
• Collaborate closely with development and research teams on data problems
• Contribute to operational excellence and scalable solutions
• Address complex data problems across large databases (2 TB)

Key requirements

• At least 4 years of professional Linux/Unix system administration experience
• BSc, MSc, or PhD in Computer Science / Mathematics / Statistics
• Strong Linux troubleshooting and tuning skills
• Kernel tuning experience preferred
• Programming in C, Python, or Perl
• Experience with virtualization (KVM, VirtualBox)
• Experience with Red Hat Linux administration
• Familiarity with network operating systems
• Experience with build/deploy technologies (Maven, CMake, Rake)
• Proven ability to deliver production-ready solutions for complex problems
• Interest in working in a fast-paced, data-driven trading environment

• Collaborative mindset
• Analytical and problem-solving stance
• Proactive and delivery-oriented
• Linux administration (Red Hat)
• Kernel tuning (preferred)
• C, Python, or Perl programming

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