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1 day ago
We are seeking a highly skilled software engineer to join our high-performance trading team.
Job Overview:You will be responsible for designing, developing and maintaining low-latency real-time distributed systems that support market making, pricing, algorithmic trading, position and risk management activities. This involves using C++ for multithreaded programming in Linux environments, along with a strong grasp of algorithms, data structures and performance optimization.
This role offers the opportunity to work closely with quant experts, traders and other engineers to build cutting-edge distributed applications and tools. Additionally, you can grow and lead the team within the department.
Key Responsibilities:- Design and develop real-time distributed applications for pricing/risk/algo/market making framework, integration with analytical libraries, trading platforms for connectivity and execution, ticker plants and trade stores, and other applications in the front office compute stack.
- Collaborate with cross-functional teams (traders, quants, devops) to define system requirements and deliver robust solutions.
- Maintain and extend CI/CD pipelines for continuous delivery and integration of software.
- Support production systems and participate in on-call rotations as needed.
- 6+ years of experience developing real-time applications in C++ (C++11 or newer).
- Deep understanding of Linux-based systems programming and performance tuning.
- Strong knowledge of data structures, algorithms and computational complexity.
- Proven experience with multithreading, concurrency and inter-process communication.
- Experience with the Boost libraries.
- Proficiency with Visual Studio Code (VSCode) and modern development workflows.
- Solid understanding of CI/CD practices and tools (e.g., GitHub, TeamCity, etc.).
- Experience building or supporting distributed systems in a low-latency environment.
Desirable qualifications include familiarity with fixed income products, prior experience in investment banking, proprietary trading firms or hedge funds, understanding of market data feeds, order management systems and electronic trading protocols.
A bachelor's degree in Computer Science or equivalent experience is required.
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