Trading Operations Engineer (US)

Arcus Search; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

Arcus Search is seeking a Trading Operations Engineer (SRE / Platform / DevOps + Python) to support global trading infrastructure with remote work across US/Canada time zones. This role aligns to GMT-5 (approximately 11am–7pm ET) for coverage during core market hours, with production stability and incident response as primary duties.

You will collaborate with traders and engineers to minimize downtime, improve automation, and advance reliability in a fast-paced, technology-driven trading

Qualifications

• Strong Linux fundamentals with debugging and networking.
• Understand networking concepts and connectivity troubleshooting.
• Hands-on Kubernetes fundamentals (pods, scheduling, debugging).
• Experience with Helm or similar config management.
• Comfortable in 24/7 support with incident response mindset.
• Able to read and debug Python in production.
• Experience with Prometheus and Grafana monitoring.

Responsibilities

• Provide out-of-hours operational coverage to ensure maximum trading uptime.
• Be the first point of contact for production incidents and urgent system issues.
• Partner with trading and engineering teams to resolve issues quickly.
• Monitor system performance, health, and alerts with observability tools.
• Contribute to reliability best practices in an SRE-style environment.
• Continuously improve automation, tooling, and operational processes.

Skills

Linux fundamentals

Networking basics

Kubernetes

Helm

Python debugging

Prometheus

Grafana

Incident response

GitOps

Tools

Terraform

ArgoCD

AWS

ClickHouse

Job description

Trading Operations Engineer (SRE / Platform / DevOps + Python) US / Canada Time Zones -Remote

The Opportunity

We’re working with a high-performance, technology-driven trading firm looking to hire a Trading Operations Engineer to support their global trading infrastructure outside of core business hours.

This role is aligned to GMT-5 time zones (approximately 11am – 7pm ET), providing critical coverage while key markets are active. You’ll take ownership of production stability, respond to real-time incidents, and collaborate closely with traders and engineers to ensure seamless trading operations.

If you enjoy working in fast-paced environments, solving live production issues, and having direct impact on system reliability, this is a strong fit.

Key Responsibilities

• Provide out-of-hours operational coverage to ensure maximum trading uptime
• Act as the first point of contact for production incidents and urgent system issues
• Partner with trading and engineering teams to resolve issues quickly and reduce downtime
• Monitor system performance, health, and alerts using modern observability tools
• Contribute to reliability best practices in an SRE-style environment
• Continuously improve automation, tooling, and operational processes

Required Experience

• Strong Linux fundamentals including system debugging, shell usage, and networking tools
• Good understanding of networking concepts and troubleshooting connectivity issues
• Hands-on experience with Kubernetes fundamentals (pods, scheduling, debugging)
• Experience managing configurations using Helm or similar tools
• Comfortable working in a 24/7 support environment with an incident-response mindset
• Ability to read and debug Python code in production environments
• Experience with monitoring tools such as Prometheus and Grafana

Nice to Have

• Exposure to structured incident management frameworks
• Experience with GitOps and deployment tools (e.g. ArgoCD)
• Familiarity with cloud environments (AWS, VPCs, EC2)
• Infrastructure-as-code experience (Terraform)
• Experience querying ClickHouse for debugging or performance analysis
• Understanding of Kafka or similar messaging systems

Shift Alignment (Indicative)

• East Coast US: 11am – 7pm
• Central US: 10am – 6pm
• Canada (ET): 11am – 7pm