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Mid-level 4–6yr band, generalist software title and metro location increase applicant density.
C++ systems and data engineering skills transfer across industries but favor finance or low-latency systems experience.
Explicit 4+ years plus mandatory modern C++, systems programming, UNIX and Git makes technical filters strict.
Design, develop, and support scalable applications and data solutions primarily using C++ and Python with focus on high performance and operational excellence.
Transform structured and unstructured data into standardized analytics-ready datasets to facilitate quantitative analysis and financial engineering use cases.
Develop automation tools to enhance software development, testing, deployment, and operations workflows, and participate in code reviews to maintain high coding standards.
Bachelor’s degree in computer science, engineering, or related technical field.
4+ years of hands-on experience in C++ software development.
Proficiency in modern C++ (C++11 or later) and strong command of the Standard Template Library (STL).
Practical experience with UNIX/Linux development environments and Git.
Experienced in systems programming concepts including memory management, concurrency, synchronization, and I/O.
Able to work independently by gathering requirements, clarifying business and technical logic, and driving tasks to completion with minimal supervision.
Capable of clearly articulating technical concepts and collaborating across globally distributed and cross-functional teams.