Linux Systems Engineer: AI-Driven Cloud & Low-Latency Infra

genevatrading; Chicago (IL); On-site; USD 150,000 - 180,000; Full time

Job summary

Geneva Trading in Chicago seeks a mid-level Systems Engineer to own Linux infrastructure, drive cloud integration, and orchestrate containers for high-performance trading.

You will develop AI-assisted automation, manage hybrid cloud resources, and collaborate across Trading, Networking, and Cloud teams to ensure low latency and resilience.

The role emphasizes security, reliability, and scalable operations in a fast-paced financial environment.

Qualifications

• 3+ years managing enterprise Linux environments (RHEL/Ubuntu).
• Experience with Docker and workload schedulers (Nomad, Swarm, or Kubernetes).
• Proven ability to provision and manage cloud infra in AWS or GCP.
• Hands-on coding/troubleshooting with Claude Code or similar LLMs for IT ops.
• Bash and Python proficiency; experience with IaC tools (Ansible, Terraform).
• Strong understanding of Linux internals, NICs, storage, and diagnostics.

Responsibilities

• Administer production and development Linux servers for uptime, stability, and security.
• Deploy and manage distributed workloads using Nomad, Swarm, or Kubernetes.
• Package and scale microservices and trading apps with Docker in on-prem and cloud.
• Architect and maintain hybrid cloud infra in AWS and GCP.
• Develop AI-driven automation workflows and custom Claude Skills.
• Perform system hardening, kernel updates, and patch management.
• Support Windows Server components and Active Directory when needed.
• Collaborate with Infrastructure, Networking, Cloud, and Trading teams; participate in on-call.

Skills

Linux

Containers

Cloud Infra

AI Automation

Scripting

IaC

Tools

Docker

Kubernetes

Nomad

Docker Swarm

Terraform

Ansible

Puppet

SaltStack

Job description

Geneva Trading in Chicago seeks a mid-level Systems Engineer to own Linux infrastructure, drive cloud integration, and orchestrate containers for high-performance trading.

You will develop AI-assisted automation, manage hybrid cloud resources, and collaborate across Trading, Networking, and Cloud teams to ensure low latency and resilience.

The role emphasizes security, reliability, and scalable operations in a fast-paced financial environment.