Trading Engineer - Strategy

Reference: 25838Location: Chicago, IL, United StatesIndustry: Trading FirmPosted: 2026-04-28Contact: Ethan HudsonEmail: View email address on click.appcast.io: 13176505687Trading Engineer - StrategyLocation: Chicago, IL (Hybrid/On-site)About the OpportunityWe 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.ResponsibilitiesReal-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 & BenefitsBase Salary: $175,000 – $225,000 USDTotal Rewards: This position is eligible for a competitive discretionary bonus and a comprehensive benefits package including premium health insurance and generous paid leave.#LI-KH1