System Operations Engineer

Geneva Trading; Chicago (IL); On-site; USD 75,000 - 90,000; Full time

Benefits offered by this job

Performance-based bonus

Comprehensive benefits program

Job summary

A leading trading firm is seeking a System Operations Engineer in Chicago to maintain high-performance infrastructure for global operations. The successful candidate will balance technical troubleshooting with automation projects to enhance system uptime. Key responsibilities include managing device lifecycles with Microsoft Intune, utilizing REST APIs, and ensuring technical support for data center operations. An ideal candidate has 3-5 years experience in a relevant role and strong proficiency in Windows Server.

Qualifications

• 3–5 years in System Operations or high-pressure Technical Support role.
• Strong proficiency in Windows (10/11 & Server).
• Practical experience with Microsoft Intune and Active Directory.
• Proficiency in functional programming, logic-driven code.

Responsibilities

• Manage device lifecycles and user identities using Microsoft Intune.
• Shift basic scripting to functional programming principles.
• Use REST APIs to streamline workflows between platforms.
• Provide technical support for data center operations.

Skills

Technical troubleshooting

Functional programming

REST APIs

Windows Server proficiency

Analytical troubleshooting

Operational mindset

Tools

Microsoft Intune

PowerShell

Linux administration

Job description

System Operations Engineer (Chicago)

Role: System Operations Engineer at Geneva Trading. You will maintain the high-performance infrastructure that powers our global trading operations. This position requires a proactive mindset—balancing technical troubleshooting with automation projects to enhance system uptime and user productivity.

Key Responsibilities

• Endpoint & Identity Management: Utilize Microsoft Intune and Entra ID to manage device lifecycles, configuration profiles, and user identities. You will ensure workstations are compliant, secure, and optimized for trading and administrative functions.
• Functional Automation: Shift from basic scripting to functional programming principles. Use PowerShell as an example of a functional tool to build modular, idempotent, and reusable automation for user provisioning and software deployments.
• API Integration: Use REST APIs to connect infrastructure tools, automate data pulls, and streamline workflows between different platforms.
• Infrastructure & Data Center Awareness: Provide technical support for data center operations, including familiarity with racking/stacking and using LOM (Lights‑Out Management) tools like iDRAC or iLO for remote server administration.
• AI & High‑Performance Computing: Support the hardware and software environments required for AI and Machine Learning workloads, including high‑spec GPU workstations and server configurations.
• Performance Engineering: Conduct system testing to identify inefficiencies in hardware (CPU/GPU/Memory) and software deployments to maintain a low‑latency edge.
• Documentation: Maintain rigorous documentation for trading applications, exchange connectivity, and internal SOPs.

Qualifications

• Experience: 3–5 years in System Operations, Systems Engineering, Desktop Engineering or a high‑pressure Technical Support role.
• Technical Stack: Strong proficiency in Windows (10/11 & Server).
• Management: Practical experience with Microsoft Intune and a solid understanding of Entra ID (Azure AD). Understanding of Active Directory.
• Functional Programming: Proficiency in a functional programming style; while we use PowerShell for automation, we value the ability to write clean, logic‑driven, and testable code.
• Connectivity: Experience using REST APIs to interact with web services or automate system tasks.
• Hardware Knowledge: Deep knowledge of PC/Server components (GPUs, RAM types, CPU architectures) and familiarity with Data Center environments.
• Analytical Rigor: Excellent troubleshooting skills with the ability to dig through system log files to identify root causes.
• Operational Mindset: Ability to make sound, rapid decisions in a fast‑paced trading environment.
• Critical Thinking: Work with AI‑based tools, checking to ensure that they are doing what they are supposed to. Avoid pitfalls of simply trusting machine output.

Preferred (The "Nice to Haves")

• Linux: Familiarity with Linux (RHEL/Ubuntu/CentOS) administration.
• AI Tools: Awareness of the infrastructure requirements for supporting internal AI models or LLMs.
• Physical Ability: Comfort performing occasional physical work, including equipment moves and data center cable management.

Compensation

Base Salary Range: $75,000 - $90,000, plus eligibility for a performance‑based bonus. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program.

Equal Opportunity Employer

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.