> Markdown version of [/jobs/ext/4639175-software-engineers-c](https://www.wearedevelopers.com/jobs/ext/4639175-software-engineers-c). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineers (C++) - **Company:** Alldus International Consulting Ltd - **Location:** New York, NY, United States - **Salary:** $275,000 - $350,000 - **Contract:** Permanent contract - **Skills:** C++ (Programming Language), Computer Engineering, Distributed Systems, High-Frequency Trading, Machine Learning, Performance Tuning, Software Engineering, Data Processing, Reliability of Systems, Information Technology, Low Latency, C++14 - **Published:** November 8, 2026 - **Apply:** https://www.juju.com/job/28_25196_b0ba179efaec3c42b821c1ff6eaed454 ## About the Role * Bachelor's, master's degree or PhD in Computer Science, Computer Engineering, Mathematics, Physics or similar. * Extensive software engineering experience, including the development of production-grade systems using C++. * Strong knowledge of modern C++, low-latency engineering and performance optimisation. * Experience creating reliable, maintainable and high-performance software for business-critical environments. * A thorough understanding of distributed systems, scalable architecture and complex data-processing pipelines. * Ability to assess interconnected systems from first principles and deliver effective improvements. * Experience enhancing established production platforms and designing new systems from the ground up. * A rigorous approach to software correctness, system resilience, monitoring and fail-safe engineering. ## Description * Develop and maintain high-performance applications using modern C++. * Engineer low-latency systems capable of processing and normalising large volumes of market data. * Integrate data feeds across global exchanges, vendors and multiple asset classes. * Design and optimise high-frequency trading and execution platforms. * Create scalable analytics libraries for quantitative research and real-time forecasting. * Develop research tools using advanced statistical and machine learning technologies. * Translate quantitative models into reliable, production-ready systems. * Enhance the speed, resilience and accuracy of critical live-market platforms. * Build and monitor distributed systems and complex data-processing pipelines. * Partner with quantitative researchers, traders and engineers to deliver commercially valuable solutions.