Location: New York, London, ChicagoDepartment: TechnologyExperience Level: Experience ProfessionalsContact: Ashley RezinJob ID: REQ8336We 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. Required Skills & Experience 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.Preferred Qualifications 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.
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