Position Overview

We are seeking a Senior Software Engineer with strong expertise in low-latency, high-performance Core Java development to support and enhance electronic trading systems. The ideal candidate will have hands-on experience building and maintaining high-throughput market applications, working with real-time streaming data, and optimizing systems for performance, concurrency, and scalability.

Key Responsibilities

• Design, develop, and maintain low-latency trading and market data applications.

• Build and enhance microservices-based trading platforms.

• Process and manage thousands of market quotes per second from multiple sources.

• Support production trading systems and troubleshoot performance issues.

• Collaborate within a small engineering team on feature development and system enhancements.

• Optimize application performance through benchmarking, profiling, and tuning.

• Implement advanced Core Java techniques including concurrency, primitive specialization, and zero-allocation programming.

• Apply low-latency design patterns such as Disruptor and lock-free programming.

• Work with order book mechanics and electronic trading workflows.

• Deploy and support applications in GCP and on-premise environments.

• Utilize Docker for deployment and containerization.

• Work with PostgreSQL and MongoDB/Firebase environments.

• Explore and leverage AI-assisted development tools, including Gemini and Agentic AI solutions.

Required Skills

• 5+ years of software engineering experience.

• Strong Core Java development experience.

• Experience with low-latency or high-frequency trading systems.

• Knowledge of electronic trading and market data systems.

• Expertise in Java concurrency and high-throughput application design.

• Experience with lock-free programming and Disruptor patterns.

• Understanding of order book mechanics and market structure.

• Experience with micro-benchmarking and performance optimization.

• Production support experience for critical trading applications.

• Experience with PostgreSQL.

• Exposure to GCP and/or on-premise infrastructure.

Preferred Skills

• Docker and containerized deployments.

• MongoDB and Firebase exposure.

• Experience with Gemini AI tools and Agentic AI frameworks.

• Knowledge of hardware, OS-level performance tuning, and cache optimization techniques.