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About the role

Linux Systems Engineer
Location: Chicago, IL
About the Opportunity: Join a premier global quantitative trading firm at the intersection of high-performance computing and financial markets. We are looking for a driven engineer to manage and evolve the critical infrastructure that powers our low-latency execution systems and massive-scale research clusters. This is a high-impact role within a fast-paced environment where your technical contributions directly influence the success of a world-class fintech organization.
Responsibilities: Infrastructure Management:
  • Oversee the full lifecycle of a global, high-performance Linux environment, ensuring maximum uptime and reliability for trade execution and quantitative analysis.
  • Automation & Configuration:
  • Utilize advanced configuration management tools to maintain consistency and scalability across diverse computing clusters.
  • System Optimization:
  • Perform deep-level kernel tuning and hardware performance analysis to minimize latency and maximize computational throughput.
  • Technical Operations:
  • Manage system initialization processes and core OS services while participating in critical weekend maintenance and deployment cycles to ensure seamless market connectivity.
  • Internal Tooling:
  • Develop and maintain sophisticated automation scripts to streamline complex administrative tasks and system monitoring.
Requirements: (must-have) Linux Expertise:
  • Demonstrated mastery in managing large-scale Linux deployments using open-source methodologies.
  • Infrastructure as Code:
  • Proficiency in at least one enterprise-level configuration management framework (such as Ansible, SaltStack, or Chef).Scripting Mastery:
  • Advanced proficiency in Python or Shell scripting for automation and system integration.
  • Systems Internals:
  • Thorough knowledge of Linux kernel configuration, systemd, and modern computer hardware architecture.
Availability: Ability to support occasional weekend change windows to align with global market schedules.
Preferred Qualifications: (nice-to-have) Previous experience in high-frequency trading (HFT) or low-latency financial environments. Experience managing large-scale distributed computing or "Big Data" research clusters.
Compensation & Benefits: Highly competitive base salary and performance-based bonus structure. Comprehensive benefits package including health, dental, and vision. Premium workplace perks: On-site fitness access, catered meals, and regular team engagement events. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, ethnic origin, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. #LI-EH1 #LI-Onsite

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