Senior Software Engineer

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.