We are seeking highly skilled C++ engineers to join our Systematic technology team, focused on building modern low latency, high availability research, and trading infrastructure.




Key Responsibilities

• Design & Development: Architect, develop, and optimize low latency trading components and infrastructure, with a focus on performance, reliability, and scalability.


• Market Access: Integrate and maintain connectivity to global exchanges and liquidity venues. Develop and maintain order management systems (OMS), including order routing, risk checks, and real-time state management.


• Performance Tuning: Profile, benchmark, and tune systems for ultra-low latency and high throughput.


• Collaboration: Work closely with quantitative researchers, systematic portfolio managers, traders, and other technologists to deliver solutions aligned with business needs.


• Reliability: Ensure high availability and resiliency of trading systems, including participation in on-call support rotations as needed.


• Greenfield build out: Evaluate and incorporate new technologies and best practices to maintain a competitive edge in technology.

• Strong foundation in algorithms, data structures, distributed systems, and software design.


• Expert-level proficiency in C++ (modern standards, e.g., C++20/23); strong experience with Python and/or other modern languages like Rust.


• Demonstrated experience building and optimizing low latency, high throughput systems in a production trading environment.


• Strong grasp of networking (TCP/UDP, multicast), Linux systems programming, and performance profiling tools.


• Familiarity with automated testing, CI/CD, and best practices for building robust, fault-tolerant systems.


• Excellent communication skills and ability to work effectively in a fast-paced, global team environment.

• Experience with systematic or algorithmic trading systems in a hedge fund, proprietary trading firm, or investment bank.


• Familiarity with hardware acceleration concepts (FPGA, kernel bypass, RDMA) and ultra-low latency networking stacks.


• Exposure to cloud-native architectures and containerization (e.g., Kubernetes, Docker) for hybrid deployments.