Overview
You will work directly with our technologists, traders, and quantitative research analysts to build, monitor, and support the production environment on a highly automated trading desk. This role is heavily hands‑on with Linux/Unix systems, where you will develop tooling to ensure stability, performance, and reliability across a complex, distributed environment.
You will also contribute to the development and maintenance of software build and deployment tools on Linux, while gaining exposure to market microstructure and understanding how system architecture and operational risk directly impact trading.
This role is supporting a global team and will require you to work one day on a weekend.
In this role, you will:
Design and develop Python and Bash scripts to monitor the health, performance, and dependencies of a mission‑critical production environment
Monitor and support a highly distributed Linux‑based trading system
Partner with the Platform Engineering team on server imaging, testing, deployment, and system configuration
Act as a key liaison between the trading desk and network, security, market data, and platform teams on production issues and new system setups
Provide multi‑level production support for traders, strategists, and quantitative researchers
Help improve system reliability, automation, and operational efficiency across the trading stack
What we're looking for
Strong, hands‑on experience with Linux/Unix systems (essential) — this role is deeply OS‑focused
Proficiency in scripting languages, particularly Python and Bash, required
Experience supporting production or mission‑critical systems in a fast‑paced environment
Strong communication and interpersonal skills, with the ability to work closely with traders, quants, and engineers
Ability to troubleshoot complex system‑level issues under pressure
Financial services or trading environment experience preferred, but not required
Good understanding of financial instruments and markets is a plus
Excellent quantitative and problem‑solving skills strongly preferred
Bachelor’s degree in Computer Science or a related technical discipline
Equal Opportunity Statement
We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities.
