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Trexquant

Quantitative trading via ML models

Linux Systems Engineer

DevOps & InfrastructureConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor’s degree in a technical field or equivalent practical experience.
  • At least 3 years of experience managing Linux systems in a production environment.
  • Strong system-level Linux expertise, including bare-metal operating system installation, configuration, and troubleshooting.
  • Experience provisioning and managing physical servers at scale; experience with 100 or more servers is preferred.
  • Hands-on experience with storage systems, including ZFS; familiarity with enterprise storage vendors such as NetApp or Dell is strongly preferred.
  • Proficiency with Ansible for configuration management and automation.
  • Strong Bash scripting skills; Python is a plus but not required.
  • A 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.

Responsibilities

  • Build, provision, and maintain bare-metal Linux servers, including operating system installation, configuration, and lifecycle management.
  • Own server infrastructure from hardware through the operating system and core services, ensuring stability and performance.
  • Configure and manage storage systems, including ZFS and enterprise storage platforms such as NetApp or Dell.
  • 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.

Desired Qualifications

  • Python scripting experience is a plus but is not required.
  • Experience provisioning and managing 100 or more servers is preferred.
  • Familiarity with enterprise storage vendors such as NetApp or Dell is strongly preferred.

About the Company

Trexquant

Quantitative trading via ML models

Trexquant is a quantitative finance firm that builds multi-asset portfolios using machine learning. It develops investment and research tools that ingest a wide range of data variables to create complex trading models and strategies, which in turn generate trading signals. These signals guide decisions across global markets. The product works by applying advanced machine learning to large datasets to create predictive models and rule-based strategies, which drive portfolio construction and trading actions through the firm’s platform. Trexquant differentiates itself by emphasizing the breadth of data it uses and the depth of machine-learning driven models to craft multi-asset portfolios, aiming to produce signals that outperform global market conditions. The company’s goal is to generate investment performance that beats benchmarks by using data-driven signals and diversified, multi-asset strategies.

Company size
51-200
Company stage
Not listed
Total funding
Not listed
Headquarters
Stamford, CT
Founded
2012

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