Trading Engineer - Strategy

Location: Chicago, IL (Hybrid/On-site)

About the Opportunity

We are seeking a high-caliber Systems Engineer to join a premier global market-making firm at the intersection of high-frequency technology and algorithmic strategy. This is a front-line role where you will own the reliability and performance of mission-critical trading systems, driving automation and engineering excellence in an environment where milliseconds define success. If you thrive in high-pressure, real-time scenarios and want to see the immediate impact of your code on global markets, this is your next challenge.

Responsibilities

• Real-Time Operations: Oversee the health and low-latency performance of live trading environments, providing rapid incident response and deep-dive root cause analysis for complex distributed architectures.

• Automation & Tooling: Design and deploy sophisticated automation frameworks to eliminate manual interventions, enhancing the scalability and resilience of the trading infrastructure.

• Cross-Functional Synergy: Act as the technical bridge between quantitative researchers, traders, and core developers to implement high-impact system enhancements and strategy deployments.

• Infrastructure Evolution: Proactively identify bottlenecks in production environments and lead initiatives to optimize system reliability through modern engineering practices.

Requirements (Must-have)

• Experience: At least 3 years in Site Reliability Engineering (SRE), systems engineering, or technical operations, specifically supporting high-performance, real-time production environments.

• Technical Stack: Proficiency in managing enterprise Linux environments and container orchestration via Kubernetes.

• Scripting: Advanced automation capabilities using Python and Bash.

• Education: Bachelor’s degree in Computer Science, Engineering, or a related technical discipline.

• Mindset: A proactive problem-solver who remains composed under pressure and possesses a strong desire to learn the intricacies of financial market mechanics.

Preferred Qualifications (Nice-to-have)

• Observability & Data: Experience with monitoring and data tools such as Prometheus, InfluxDB, or Kafka.

• Database Management: Familiarity with SQL and NoSQL (e.g., MongoDB) environments.

• Domain Knowledge: Previous experience within fintech, proprietary trading, or a high-frequency data environment.

Compensation & Benefits

• Base Salary:$175,000 – $225,000 USD

• Total Rewards: This position is eligible for a competitive discretionary bonus and a comprehensive benefits package including premium health insurance and generous paid leave.

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

OP Recruiting, a member of the Objective Partners family of specialized talent solution providers, uses AI-assisted tools, including Alex by Apriora, to support our recruiting process. These tools may review application materials and analyze interview responses to provide insights about a candidate's experience and qualifications. AI output informs our recruiters; decisions about whether to advance or present a candidate are made by people. Learn more about our use of AI, including how to request an accommodation: https://www.oprecruiting.com/ai-in-our-hiring-process.

#LI-EH1 #LI-Onsite