Software nZ4EgYm3 – Trading Infrastructure (C++ / Rust) — New York, NY

We are looking for a versatile Software Engineer to join a lean, highly collaborative technology team. In this role, you will gain direct exposure to quantitative research, algorithmic trading systems, and risk reporting. You will not be siloed—you will work alongside senior engineers, quants, and traders to actively shape our evolving architecture and integrate modern frameworks into our trading lifecycle.

What You Will Do

• Build & Optimize: Collaborate with quantitative researchers and traders to build robust data acquisition pipelines, validate datasets, and integrate quantitative models directly into the trading infrastructure.

• End-to-End Ownership: Develop and maintain critical post-trade workflows and real-time risk reporting systems.

• Innovate: Actively explore and implement new frameworks, architectures, and technologies to modernize our trading stack.

• Grow & Mentor: Work closely with senior team members through hands-on mentorship while partnering cross-functionally to drive core business objectives.

What You Bring

• Experience: 3–5 years of software development experience with a strong track record of applying industry best practices in design, configuration management, and deployment.

• Core Languages: Demonstrated proficiency in C++ and/or Rust, with a working knowledge of Python.

• Systems & Infrastructure: Experience with messaging protocols (RabbitMQ, Kafka), WebSockets, and AWS cloud environments.

• Data & Databases: Strong foundation in SQL/relational databases, with familiarity in financial data APIs and time-series databases (Onetick/Kdb).

• Environment: Comfortable operating and developing within a Unix-based environment.

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.

• Soft Skills: Sharp analytical problem-solving abilities paired with clear, concise communication skills.