Overview In this role you will own the reliability and performance of mission-critical trading systems at a premier global market-making firm. You will work at the intersection of high-frequency technology and algorithmic strategy, driving automation and engineering excellence in real-time environments. You'll collaborate with researchers, traders, and developers to implement impactful system enhancements while shaping scalable, low-latency infrastructure. This role offers hands-on impact in fast-paced markets and a clear path to engineering leadership in trading technology.
Compensation / Benefits- base salary
- discretionary bonus
- comprehensive health insurance
- generous paid leave
Responsibilities- Oversee health and low-latency performance of live trading environments and perform rapid incident response
- Design and deploy automation frameworks to scale and bolster resilience of trading infrastructure
- Bridge between quantitative researchers, traders, and core developers to implement high-impact system enhancements and strategy deployments
- Identify bottlenecks in production and lead reliability-improvement initiatives using modern engineering practices
- Drive automation and tooling to reduce manual interventions and improve operational efficiency
Key requirements- At least 3 years in SRE, systems engineering, or technical operations for high-performance, real-time production environments
- Proficiency in managing enterprise Linux environments and Kubernetes orchestration
- Advanced automation using Python and Bash
- Bachelor's degree in Computer Science, Engineering, or related technical discipline
- Proactive problem-solver who remains composed under pressure and eager to learn financial market mechanics
- calm under pressure
- proactive problem-solver
- cross-functional collaboration
- Linux system administration
- Kubernetes orchestration
- Python automation
