Trading Systems Ops Engineer: Live Trade Reliability

CW Talent Solutions; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

CW Talent Solutions in New York, NY seeks a highly technical Systematic Trading Operations Engineer to support a high-performance automated trading platform. You will work with quants, traders and core engineering to monitor live strategies, resolve production issues and enhance automation.

Responsibilities include incident response, developing Python tools, operating Linux-based infrastructure, and managing lifecycle processes from deployments to end-of-day reconciliations.

Qualifications

• 2+ years in trading operations, production support, or trading systems.
• Strong Python skills for data analysis, scripting, and automation.
• Solid experience in Linux/Unix environments and system administration.
• Familiarity with systematic or algorithmic trading systems.

Responsibilities

• Monitor and support live systematic trading strategies across multiple asset classes.
• Act as a first responder for trading system incidents, performing root-cause analysis and remediation.
• Develop and maintain Python tools for monitoring, alerting, reconciliation, and post-trade analysis.
• Operate and troubleshoot Linux-based trading infrastructure (low-latency and batch environments).
• Manage trading lifecycle processes including strategy deployments, configuration, order and execution monitoring, and end-of-day reconciliations and reporting.
• Collaborate with quants and developers to productionize new strategies and improve resilience through automation and testing.
• Document operational procedures and contribute to runbooks.

Skills

Python

Linux/Unix

Trading operations

Automation

Data analysis

Tools

Docker

Bash scripting

PostgreSQL/MySQL

Prometheus

Grafana

Job description

CW Talent Solutions in New York, NY seeks a highly technical Systematic Trading Operations Engineer to support a high-performance automated trading platform. You will work with quants, traders and core engineering to monitor live strategies, resolve production issues and enhance automation.

Responsibilities include incident response, developing Python tools, operating Linux-based infrastructure, and managing lifecycle processes from deployments to end-of-day reconciliations.