Trading Operations Engineer

Autonomai Recruitment; New York (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

Autonomai Recruitment is seeking an Associate Trading Operations Engineer for a leading global trading technology firm in New York City. The role sits at the intersection of trading operations and infrastructure engineering, focusing on low-latency systems, real-time workflows, and production-critical environments.

You will work with traders, researchers, and senior engineers to ensure reliability and performance across global markets, with direct exposure to cutting-edge low-latency

Qualifications

• 1–4 years of experience in a trading, fintech, or low-latency tech environment (internships included).
• Proficiency in Python for scripting, automation, or tooling.
• Solid understanding of networking fundamentals (TCP/IP, multicast, latency considerations).
• Familiarity with production support, incident management, and monitoring tools.

Responsibilities

• Monitor and support live trading systems, ensuring high availability and rapid incident resolution.
• Troubleshoot production issues across Linux-based environments, including network, system, and application layers.
• Develop and maintain Python-based tools for automation, monitoring, and operational efficiency.
• Collaborate with trading desks to diagnose and resolve trading system anomalies in real time.

Skills

Python

Linux

Networking

Incident Mgmt

Monitoring

Low-latency

Observability

Tools

Prometheus

Grafana

ELK

CI/CD

IaC

Kubernetes

Job description

Associate Trading Operations Engineer – Trading Systems / Linux / Python

Location: New York City (Onsite)

A leading global trading technology firm is seeking an Associate Trading Systems Engineer to support and optimize its high-performance trading environment. This role sits at the intersection of trading operations and infrastructure engineering, offering direct exposure to low-latency systems, real-time trading workflows, and production-critical environments.

You will work closely with traders, quant researchers, and senior engineers to ensure the reliability, performance, and scalability of trading systems across global markets.

Key Responsibilities

• Monitor and support live trading systems, ensuring high availability and rapid incident resolution.
• Troubleshoot production issues across Linux-based environments, including network, system, and application layers.
• Develop and maintain Python-based tools for automation, monitoring, and operational efficiency.
• Collaborate with trading desks to diagnose and resolve trading system anomalies in real time.

Requirements

• 1–4 years of experience in a trading, fintech, or low-latency technology environment (internships included).
• Proficiency in Python for scripting, automation, or tooling.
• Solid understanding of networking fundamentals (TCP/IP, multicast, latency considerations).
• Familiarity with production support, incident management, and monitoring tools.

Nice to Have

• Exposure to trading systems, market data, or exchange connectivity (FIX, OUCH, ITCH, etc.).
• Experience with low-latency systems or performance-sensitive environments.
• Knowledge of C++ or other systems programming languages.
• Experience with observability tools (Prometheus, Grafana, ELK stack).
• Understanding of CI/CD, infrastructure-as-code, or containerization.

Why Join

• Work in a highly collaborative, fast-paced trading environment with direct impact on live systems.
• Gain exposure to cutting-edge low-latency infrastructure and global markets.
• Clear progression path into senior trading systems or infrastructure engineering roles.
• Competitive compensation, performance bonus, and comprehensive benefits.