Our client, a leading quant hedge fund is looking for a software engineer with a deep understanding of system design and reliability to join a bespoke group working towards the greenfield implementation of a bare metal trading platform. This is the unique opportunity to work with critical and complex issues within the production environment, applying pragmatic fixes in the moment which then become engineered solutions.

The ideal candidate will have a background in software engineering in one of the high level languages, as well as hands on experience with Linux systems and a proven track record in designing and delivering scalable systems in production environments.

Your future role within QRT:

• While participating in the team on-call rota, you will have broad and deep responsibility for the system design, deployment, configuration and daily operation of:
• The physical infrastructure, consisting of servers, switches, storage and other specialized hardware platforms
• the trading application environment, built from the artifacts continuously deployed by developers and researchers
• The observability stack for the entire platform
• The intent-driven system through which all elements are managed as a single coherent system
• You will be responsible for interfacing with traders, researchers, application developers and other internal teams, as well as external service providers
• You will be comfortable solving complex issues in a critical production environment, applying pragmatic fixes in the moment, which then become engineered solutions

Your Present Skillset:

• Bachelors/Masters/PhD in Computer Science, Computer Engineering or Electrical Engineering
• Strong problem-solving skills and deep understanding of computer-science fundamentals
• Hands-on experience at with Linux systems
• Proven track record designing and delivering scalable systems in production environments
• Experience with infrastructure-as-code tools
• Experience with monitoring and observability tools
• Deep understanding of servers, switches and operating systems
• Expertise in the synchronization and propagation of ultra-precise timing signals
• Knowledge of low-latency systems, trading environments, market data, or exchange protocols