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.