Geneva Trading Logo

Geneva Trading

System Operations Engineer

Reposted 6 Days Ago
Easy Apply
Hybrid
Chicago, IL
75K-90K Annually
Mid level
Easy Apply
Hybrid
Chicago, IL
75K-90K Annually
Mid level
Maintain and enhance the infrastructure for global trading operations, focusing on system reliability, automation, and technical support for Windows environments while supporting AI workloads.
The summary above was generated by AI

Founded in 1999, Geneva Trading is a premier global principal trading firm with strategically located offices in Chicago, Dublin, and London. Our relentless focus on trading excellence combined with technological innovation has equipped us with a best-in-class proprietary trading platform, enabling us to compete at the highest levels in the global markets. Rooted in a culture of integrity, collaboration, and an unwavering passion for progress, we foster an environment of personal and professional excellence. Our nimble organizational structure and entrepreneurial spirit attract top-tier talent with a passion for innovation, laying the foundation and driving our consistent success in the industry.


Role: System Operations Engineer 

Company: Geneva Trading 

(Chicago) 

About the Role 

As a System Operations Engineer at Geneva Trading, you will maintain the high-performance infrastructure that powers our global trading operations. You will go beyond traditional desktop support to ensure the reliability and scalability of our Windows-centric environment. 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. You will 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: * OS: 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. Avoiding pitfalls of just trusting what the machine says.  

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. 

Final compensation will be determined based on the candidate’s skills, experience, education, and qualifications. In addition to base salary, Geneva Trading offers a competitive total rewards package, including a comprehensive benefits program. Learn more about our employee incentives here: https://www.genevatrading.com/employee-incentives/ 

Application expected to close: 6/01/2026 

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.

Similar Jobs at Geneva Trading

2 Days Ago
Easy Apply
Hybrid
Easy Apply
80K-130K Annually
Junior
80K-130K Annually
Junior
Fintech • Financial Services
The Junior Software Engineer will develop and optimize trading systems in C++ and Python, focusing on OS-level performance and real-time application in a collaborative trading environment.
Top Skills: C++LinuxPythonUnix
4 Days Ago
Easy Apply
Hybrid
Easy Apply
250K-350K Annually
Mid level
250K-350K Annually
Mid level
Fintech • Financial Services
The Director of AI Engineering will develop AI-driven solutions, enhance trading workflows, oversee LLMs, and lead AI integration efforts.
Top Skills: Ai FrameworksAutomation SystemsBig Data AnalyticsCloud PlatformsLlmsPython
6 Days Ago
Easy Apply
Hybrid
Easy Apply
100K-140K Annually
Mid level
100K-140K Annually
Mid level
Fintech • Financial Services
Develop and execute TRF and dividend futures trading strategies, monitor and optimize portfolio risk and financing/repo legs, capture arbitrage opportunities between OTC and listed contracts, and collaborate with quantitative researchers to build pricing models and data tools.

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account