Trading Systems Engineer (Python)

Fintal Partners; Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Job summary

A financial technology firm in Chicago is looking for a Trading Systems Engineer who will be responsible for ensuring the reliability, scalability, and performance of critical trading systems. The ideal candidate will have strong Python skills and experience with Kubernetes in production environments. The role involves building and maintaining reliability tooling, improving system observability, and collaborating with various teams to enhance system performance. This position offers an opportunity to work in a fast-paced, innovative financial sector.

Qualifications

• Strong Python development skills with a software-engineering mindset.
• Hands-on experience operating Kubernetes and containerized workloads at scale.
• Solid Linux fundamentals and understanding of distributed systems.

Responsibilities

• Build and maintain reliability tooling and automation in Python.
• Operate and scale containerized platforms using Kubernetes in production.
• Improve system observability, monitoring, and incident response practices.
• Partner with developers, traders, and infrastructure teams to improve resilience and performance.

Skills

Python development

Kubernetes

Automation

System observability

Job description

Overview

We’re hiring a Trading Systems Engineer to ensure the reliability, scalability, and performance of mission-critical trading systems. This role combines strong software engineering in Python with deep expertise in containerization and Kubernetes, supporting low-latency, high-availability production environments.

Responsibilities

• Build and maintain reliability tooling and automation in Python
• Operate and scale containerized platforms using Kubernetes in production
• Improve system observability, monitoring, and incident response practices
• Partner with developers, traders, and infrastructure teams to improve resilience and performance

Qualifications

• Strong Python development skills with a software-engineering mindset
• Hands-on experience operating Kubernetes and containerized workloads at scale
• Solid Linux fundamentals and understanding of distributed systems

Nice to have

• Experience supporting trading or other latency-sensitive systems
• Familiarity with cloud and on-prem hybrid environments
• Exposure to CI/CD, infrastructure-as-code, or performance tuning