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SG is a boutique technology company founded in 2004.
We use technology and big data to solve real world financial puzzles.
Our competitive advantage is a true meritocracy minimizing politics and rewarding results.
The foundation of our culture is continuous improvement.
Join our infrastructure team as a Linux Systems Engineer, where your expertise in Python, Bash, and automation will directly impact our growing systems.
This role offers opportunities for hands-on learning, collaboration, and professional growth in open-source technologies and infrastructure-as-code.
Develop and maintain Python automation scripts for infrastructure management.
Build monitoring solutions using open-source tools.
Implement infrastructure-as-code with Ansible.
Troubleshoot Linux system issues and assist with hardware maintenance.
Set up desktops, laptops, and virtual machines (Linux, Windows, Mac).
Support SQL database management, including queries and table creation.
Design and document scalable infrastructure solutions.
Proficiency with Linux command line environments (Ubuntu/Debian, CentOS/RHEL) Strong Python programming skills for automation.
with Bash scripting and configuration management. Familiarity with Git version control and code review processes. Understanding of core Linux services (systemd, SSH, DNS, DHCP). Basic networking and network monitoring knowledge. What we offer: Work-Life Balance - no excessive overtime Mentorship from senior engineers Experience with enterprise-level tools (VMware, Ansible, monitoring systems) Opportunity to propose and lead technical projects Competitive market-based pay with results based rewards Solid benefit package including 401(k), medical, dental, vision, and more Generous time off including holidays and vacation Fully stocked break room, weekly lunches, volunteer opportunities, and more! Authorization to work in the U.S. for this position is required. SG will not sponsor candidates for the position.
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Chicago-based automated trading firm solving mathematical and technology problems with software and algorithms.
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