
Trading Systems Engineer
Hudson River Trading3 months ago
Base Salary
$150k - $250k/yr
Responsibilities
- Design, manage, automate, and optimize global Linux-based trading infrastructure.
- Troubleshoot hardware and software issues across the technology stack.
- Design and implement system installations and upgrades.
- Deploy, configure, and test internal and external applications.
- Resolve production-critical issues quickly and efficiently.
- Benchmark and tune trading-stack performance.
- Escalate and manage vendor performance and reliability issues with vendor engineering teams.
- Participate in an on-call rotation covering trading hours and weekend shifts as needed.
Requirements
- At least 7 years of relevant experience supporting a live production environment, especially trading systems.
- Expertise installing, configuring, and troubleshooting Linux systems across hardware, networking, kernels, and applications.
- Knowledge of configuration management tools, particularly SaltStack; Puppet, Ansible, Chef, or CFEngine experience is desirable.
- Advanced programming experience focused on automation and integration, with Python strongly preferred.
- Advanced Bash scripting experience.
- Significant experience managing and debugging production trading services.
- Strong cross-functional communication and organizational skills.
- Ability to manage assigned projects efficiently, ideally using JIRA.
- Architect-level cloud experience with AWS or GCP is desirable but not required.
Benefits
- Medical, dental, vision, and basic life insurance.
- Retirement savings plan enrollment.
- Sick leave, parental leave, 20 vacation days, and 10 paid holidays in the US; policies vary by location.
- Discretionary performance-based bonus eligibility.
- Ongoing applications with no stated deadline; the role includes on-call rotation coverage during trading hours and weekend shifts as needed.
Tech Stack
Categories
About Hudson River Trading
Hudson River Trading is a privately held quantitative trading firm that researches and builds automated trading algorithms and low-latency systems. It trades its own capital across global electronic markets in multiple asset classes, often acting as a liquidity provider. Founded in 2002 and headquartered in New York, the firm runs a large-scale trading platform with around-the-clock operations supporting live market activity and risk controls.