Summary
✨ AI‑Generated
Build and support a highly automated production environment for mission-critical distributed systems. You will develop Python and Bash tooling, monitor system health and dependencies, troubleshoot Linux-based infrastructure, improve build and deployment processes, and collaborate closely with engineering and quantitative teams. The role includes one weekend workday.
Highlights
Highly hands-on production engineering role working directly with technologists, traders, and quantitative researchers. The position offers deep exposure to Linux-based distributed systems, automation, reliability, performance, deployment tooling, and financial technology.
Description
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 environmentMonitor and support a highly distributed Linux-based trading systemPartner with the Platform Engineering team on server imaging, testing, deployment, and system configurationAct as a key liaison between the trading desk and network, security, market data, and platform teams on production issues and new system setupsProvide multi-level production support for traders, strategists, and quantitative researchersHelp improve system reliability, automation, and operational efficiency across the trading stack
What We're Looking For
Must hold full working rights to work in AustraliaStrong, hands-on experience with Linux/Unix systems (essential) — this role is deeply OS-focusedProficiency in scripting languages, particularly Python and Bash, requiredExperience supporting production or mission-critical systems in a fast-paced environmentStrong communication and interpersonal skills, with the ability to work closely with traders, quants, and engineersAbility to troubleshoot complex system-level issues under pressureFinancial services or trading environment experience preferred, but not requiredGood understanding of financial instruments and markets is a plusExcellent quantitative and problem-solving skills strongly preferredBachelor’s degree in Computer Science or a related technical discipline
About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation.
Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment.
To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies.
By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
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.
