Principal Engineer - Java - Trading System

Key Responsibilities :

- System Architecture : Design, implement, and optimize low-latency, high-throughput Java applications for high-frequency and algorithmic trading.

- Performance Engineering : Write code optimized for throughput and latency, targeting transaction speeds in the millisecond to microsecond range.

- Protocol Development : Develop and maintain high-speed connectivity layers for global exchanges using protocols such as FIX, ITCH, and OUCH.

- Resiliency & Stability : Take full ownership of functional and non-functional deliverables, ensuring the platform is resilient, scalable, and maintains 99.99% uptime.

- Data Orchestration : Manage the full trade lifecycle, including real-time pricing engines, order state management, and execution logic.

- Middleware Management : Implement and fine-tune messaging systems (e.g., Aeron, Solace) for seamless real-time data processing.

Required Technical Skills :

- Expert Java Development : Strong proficiency in Java 8+, with a deep understanding of the JVM and memory management.

- Low-Latency Mastery : Proven experience in Zero-Garbage programming, mechanical sympathy, and smart synchronization techniques to bypass standard concurrency bottlenecks.

- Concurrency : Hands-on experience with multi-threaded and distributed systems, specifically focusing on lock-free data structures.

- Optimization : Deep knowledge of GC tuning, JIT compilation, and the use of efficient, primitive-based data structures (e.g., Agrona, Trove).

- Messaging : Experience with high-performance messaging middleware like Aeron or Solace.

Domain Expertise & Qualifications :

- E-Trading Experience : A mandatory background in Electronic Trading or Algorithmic Trading environments.

- Market Knowledge : Solid understanding of Global Markets, including market micro-structure and liquidity dynamics.

- Trade Lifecycle : Direct experience with pricing models, risk checks, and trade execution state machines.

- Education : Bachelors or Masters degree in Computer Science, Financial Engineering, or a related quantitative field.