Senior Software Engineer

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.

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

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  Build and enhance microservices-based trading platforms.

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

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  Support production trading systems and troubleshoot performance issues.

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

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  Optimize application performance through benchmarking, profiling, and tuning.

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

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

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  Work with order book mechanics and electronic trading workflows.

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

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  Utilize Docker for deployment and containerization.

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  Work with PostgreSQL and MongoDB/Firebase environments.

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

• 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.

• 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.