Linux Systems Engineer (USA)
Stamford, United States · On-site · Full-time
- Posted 5mo ago
- From Trexquant Investment’s careers page
- Location
- Stamford, United States
- Work mode
- On-site
- Type
- Full-time
- Experience
- 3+ years
- Department
- Information Technology
This role is no longer on Trexquant Investment’s careers page. See 5 open roles
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About the role
We are seeking a hands-on Linux Systems Engineer to build, maintain, and scale our on-premise infrastructure. This role is focused on bare-metal Linux systems, with significant ownership across server provisioning, storage, and system reliability.
The ideal candidate is detail-oriented, highly disciplined, and comfortable operating in a demanding, production-critical environment. This is not a cloud-focused role. Success requires deep experience with physical infrastructure, Linux internals, and automation in a high-performance setting.
Responsibilities:
- Build, provision, and maintain bare-metal Linux servers, including OS installation, configuration, and lifecycle management
- Own server infrastructure from hardware through operating system and core services, ensuring stability and performance
- Configure and manage storage systems, including ZFS and enterprise storage platforms (e.g., NetApp, Dell, or similar)
- Monitor system health and performance; troubleshoot issues and implement durable, long-term fixes
- Develop and maintain automation using Ansible and Bash to standardize provisioning, configuration, and operations
- Perform system patching, upgrades, and capacity planning across a growing server fleet
- Participate in incident response, root cause analysis, and continuous improvement of system reliability
- Collaborate with engineering and infrastructure teams to support application performance on Linux systems
- Contribute to documentation, runbooks, and operational best practices
- Support data center operations as needed, including hardware troubleshooting, racking, cabling, and server replacements
- Travel to data centers periodically for maintenance, expansions, and issue resolution
Requirements:
- Bachelor's degree in a technical field or equivalent practical experience
- 3+ years of experience managing Linux systems in a production environment
- Strong expertise in Linux at the system level, including OS installation, configuration, and troubleshooting on bare metal
- Proven experience provisioning and managing physical servers at scale (100+ servers preferred)
- Hands-on experience with storage systems, including ZFS; familiarity with enterprise storage vendors (NetApp, Dell, or similar) is strongly preferred
- Proficiency with Ansible for configuration management and automation (required)
- Strong Bash scripting skills; Python is a plus but not required
- Solid understanding of system performance, resource management, and reliability in production environments
- Experience working in environments where uptime, precision, and operational discipline are critical
- Willingness to perform occasional hands-on hardware work and travel to data centers as needed
- Ability to participate in an on-call rotation
Benefits:
- Competitive salary with performance-based bonus
- Collaborative, team-oriented work environment
- PPO health, dental, and vision insurance fully covered for employees and dependents
- Pre-tax commuter benefits
- Weekly company-sponsored meals
Applications are open for both Stamford and New York City offices, the latter with a planned opening in October 2026.
The base salary for this role is $130,000 - $150,000, and will be determined based on the candidate's educational background and professional experience. Base salary is one component of Trexquant's total compensation package, which may also include a discretionary, performance-based bonus. This position is classified as overtime-exempt.
Trexquant is an Equal Opportunity Employer
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About Trexquant Investment
Statistical arbitrage through human insight and machine intelligenceTrexquant is a quantitative investment firm built on statistical arbitrage, combining traditional quantitative finance with machine learning and data science to build market-neutral portfolios.
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