The most kick-**s client we have ever represented are seeking a talented and highly motivated C++ Developer to join thier high-frequency trading (HFT) team based in New South Wales, Australia. This is an exceptional opportunity to work in a low-latency trading environment, developing cutting-edge systems that are critical to our trading infrastructure.
As part of the HFT team, you will work on the design, implementation, optimisation and maintenance of performance-critical software. You will collaborate closely with traders, quantitative researchers and other developers to deliver scalable and highly efficient trading solutions. Your work will directly impact trading performance, so a strong focus on performance, latency and reliability is essential.
Key Responsibilities:
Design, develop and maintain C++ software for high-speed trading systems
Implement optimised, low-latency code to process market data and execute orders
Continuously improve performance and reliability of existing systems
Collaborate with trading and research teams to understand requirements and deliver bespoke solutions
Analyse and troubleshoot complex system behaviours in live trading environments
Contribute to system architecture and design discussions
Essential Skills and Experience:
7+ years of professional C++ development experience with a strong grasp of modern C++ (C++14/17/20)
Proven experience developing software for low-latency or real-time systems
Strong understanding of multithreading, concurrency and memory management
Experience with performance profiling, benchmarking and optimisation techniques
Familiarity with Linux-based development environments
Excellent problem-solving skills and attention to detail
Strong communication skills for working in a collaborative, fast-paced environment
Desirable Qualifications:
Experience in the financial industry or high-frequency trading environments
Exposure to FPGA and hardware acceleration technologies
Background in systems programming or network programming
Bachelor's or Master's degree in Computer Science, Engineering, Mathematics or related discipline
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