Pr. Software Engineer (Algo Trading System, Java)
Kforce's client, a leading financial firm in Jersey City, NJ, is seeking a Principal Software Engineer (Algorithmic Trading System, Java) to play a key role in building a world-class trading system in an innovation-driven environment. Summary: As a Principal Software Engineer (Algorithmic Trading System, Java), you will work closely with industry experts, deepen your technical expertise, and deliver complex, high-performance systems used globally. Responsibilities:
- Greenfield Development: Play a key in the design and development of a complex, global trading system - a Greenfield initiative offering the rare opportunity to build from the ground up
- Algorithmic Trading & Smart Order Routing: Contribute to the development of advanced algorithmic trading strategies and smart order routing systems, ensuring optimal trade execution across multiple venues
- Low-Latency Messaging: Engineer high-volume, low-latency messaging solutions for electronic trading using technologies such as Aeron, ensuring reliable, ultra-fast data transmission
- Cutting-Edge Technology: Design and develop secure, scalable cloud-based services, complex distributed platforms, and APIs critical to supporting high-frequency trading
- Agile Development: Engage in full lifecycle software engineering (Java) within an Agile environment, leveraging big data technologies to power real-time trading applications
- Award-Winning Workplace: Recently recognized as a Best Place to Work, reflecting a strong commitment to employee satisfaction, career development, and a collaborative culture
- 8+ years of professional software engineering experience, with deep expertise in Java and building high-performance, low-latency systems
- Proven experience building front-office trading systems in high-frequency environments
- Knowledge of cloud-native services, microservices, and scalable distributed platforms
- Experience working in Agile environments, collaborating cross-functionally with teams
- Knowledge of low-latency messaging technologies (e.g., Kafka, Aeron, Chronicle Queue, ZeroMQ) and experience optimizing throughput, concurrency, and microsecond-level performance
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