About Quadeye Quadeye is an algorithmic trading firm operating across major global financial markets and exchanges. We combine quantitative research, advanced mathematical modeling, and high-performance technology to develop sophisticated automated trading strategies across diverse asset classes. Our teams work at the intersection of markets, mathematics, statistics, and technology, with significant ownership across the entire strategy lifecycle—from research and ideation to implementation, deployment, and optimization. We offer a highly meritocratic environment where talented researchers and engineers have the opportunity to work on challenging problems, access world-class infrastructure, and see the direct impact of their work on live trading performance. The Role We are looking for a Linux Engineer to support and optimize our production and live trading infrastructure. You will provide hands-on technical support across Linux systems and related technologies, working across trading, office, and data center environments. This role involves monitoring and troubleshooting production systems, administering infrastructure and security components, supporting hardware and software changes, and optimizing servers for low-latency performance. What You’ll Do • Provide direct technical support for Linux systems and related technologies in a production/live trading environment. • Provide hands-on support for production issues across colocation, trading, office, and data center environments. • Support and administer firewall environments. • Monitor and troubleshoot Linux-based servers, including supporting hardware changes, software installations, and upgrades. • Tune and optimize servers for low-latency performance. Requirements • 3+ years of relevant industry experience. • Engineering degree in Computer Science or a related discipline. • Hands-on experience installing and troubleshooting Linux environments, including CentOS and Ubuntu. • Experience with firewalls and security. • Strong knowledge of shell scripting and Python. • Hands-on experience with monitoring and automation tools such as Ansible and Zabbix. • Hands-on experience with AWS services, including EC2 and S3. • Ability to work effectively under pressure and manage multiple high-priority projects. • Ability to learn new technologies quickly. • Good communication and collaboration skills.