Senior Software Engineer
Hudson Manpower
Job description
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.
Job requirements
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.
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