About the Role
This role focuses on the daily health of the Research compute fleet, serving as the first line of support for HPC users and managing day-to-day operations across scheduling, compute, storage, and access. It involves handling tickets, triage, provisioning, and maintenance to ensure the infrastructure receives dedicated, high-standard operational care.
Responsibilities
- Provide first-line support for HPC users across scheduling, compute, storage, and access issues.
- Troubleshoot job failures, scheduler errors, and resource constraints, driving each issue to resolution or a clean handoff.
- Triage infrastructure incidents: gather diagnostics, apply known fixes, and escalate to subject-matter experts when a problem extends beyond defined ownership.
- Monitor fleet health (queues, node status, storage, and service availability) and act on what you see before users have to report it.
- Carry out established operational procedures for maintenance, patching, and configuration updates across the Research fleet.
- Provision new machines into the Research fleet (OS installation, configuration, validation, and handoff into service), and handle reinstalls and decommissions as routine work.
- Write and maintain runbooks, knowledge-base articles, and user guides.
- Spot recurring issues and propose practical refinements, such as better workflows or automation candidates the HPC team can pick up.
Requirements
- A bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
- 2+ years supporting Linux-based production environments.
- Solid Linux administration fundamentals (RHEL-family and/or Ubuntu).
- Methodical troubleshooting skills.
- Experience working directly with users in a technical support or operations role.
- Strong written communication skills.
- Discipline to follow established processes with genuine attention to detail.
Skills
- Bash scripting
- Python scripting
- Slurm
- HTCondor
- LSF
- NFS
- Automounter
- LDAP
- PXE
- Kickstart
- Ansible
- HPC
- Prometheus
- Grafana
Location
- New York City
Work Type
- Hybrid
Experience Level
- 2+ years
Education Level
- Bachelor's degree in computer science, engineering, or a related field, or equivalent practical experience.
Salary/Compensations
- $175,000-$225,000
Benefits
- Generous paid time off policies
- Savings plans and other financial wellness tools
- Hybrid working opportunities
- Free breakfast, lunch, and snacks daily
- In-office wellness experiences and reimbursement for select wellness expenses
- Company-sponsored sports teams and fitness events
- Volunteer opportunities and charitable giving
- Social events, happy hours, treats, and celebrations
- Workshops and continuous learning opportunities
About the Company
- Tower Research Capital is a leading quantitative trading firm founded in 1998, built on a high-performance platform and independent trading teams with a 25+ year track record of innovation.
- Tower is home to some of the world’s best systematic trading and engineering talent, empowering portfolio managers independently while providing economies of scale.
- Engineers develop electronic trading infrastructure at a world-class level, solving challenging problems in low-latency programming, FPGA technology, hardware acceleration, and machine learning.
- Ongoing investment in engineering talent and technology ensures the platform remains unmatched.
- Business Support teams are essential to building and maintaining the platform, enabling trading and engineering teams to perform at their best.
- Employees find a stimulating, results-oriented environment where colleagues inspire each other.
- Tower’s headquarters are in NYC’s Financial District, with a global impact and over a dozen offices worldwide.
- The company fosters a culture where smart, driven people thrive without egos, valuing a friendly, collaborative environment.
- A collaborative and welcoming culture, a diverse team, and a workplace that values both performance and enjoyment.
Equal Opportunity
- Tower Research Capital is an equal opportunity employer.
