Hiring: Staff Software Engineer (Low Latency Trading) Company: Kforce Inc Location: Jersey City, NJ Job Posted Time: 2026-09-11 12:09:25 Employment Type: Contract Target Skills & Keywords : AWS, Event-Driven, Java, Microservices, Systems Design About the job Required Skills: •Architect, design and develop a high-throughput, enterprise-grade algorithmic trading platform •Define the architecture and core components of an Algo Platform, including strategy orchestration, order lifecycle management, market connectivity, and execution analytics •Design and implement execution algorithms (e.g., TWAP, VWAP, and other participation or liquidity-seeking strategies) with a focus on performance, determinism, and extensibility •Development of distributed, event-driven systems using Java and high-performance messaging technologies •Design and optimize Smart Order Routing (SOR) logic across multiple trading venues •Leverage cloud technologies (AWS) to build scalable, secure, and fault-tolerant platform components where appropriate Qualifications: •Demonstrated expertise in the design and development of low-latency trading systems •Strong hands-on Java development skills •Strong API and distributed systems design experience •Knowledge of execution algorithms, including TWAP, VWAP, or similar strategies •Knowledge of Smart Order Routing (SOR), market structure, and order execution workflows •Strong collaboration and communication skills •Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. •This job is not eligible for bonuses, incentives or commissions. •Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Compensation: •$300,000 - $350,000 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!