Low-Latency Trading Engineer (C++, Linux) — NYC Equity

True Markets

New York (NY)

On-site

USD 125,000 - 175,000

Full time

14 days+

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Benefits offered by this job

Equity opportunity
Medical/Dental/Vision coverage
Office in New York City

Job summary

True Markets is building the next generation of digital asset trading. The Trading Engineer will work on C++ services at the core of the exchange—matching engine, market data pipeline, and gateways.

This role emphasizes performance and correctness, with growth from scoped tasks to independent ownership. You will contribute to order state, sequence integrity, and recovery behavior, while collaborating with a senior engineer to scale the system and improve deploys and observability in a fast-paced

Qualifications

  • 2+ years writing production systems code.
  • C++17 or newer with tooling (CMake, gcc/clang, unit test framework).
  • Comfortable on Linux: building, running, debugging from CLI.
  • Understanding of concurrency and memory for performance.
  • AI-native: Claude Code or comparable tooling as a daily force multiplier.

Responsibilities

  • Build and maintain trading services in modern C++ on Linux.
  • Deliver scoped slices of larger projects from ticket to production.
  • Work on the market data pipeline: feed handlers, snapshot and sequence handling.
  • Extend REST, WebSocket, and FIX gateways for clients.
  • Write and maintain automated tests and prove behavior under failure.

Skills

C++17
Linux
Concurrency
Communication
AI tooling (Claude Code)

Tools

CMake
gcc/clang
Unit test framework
Git

Job description

True Markets is building the next generation of digital asset trading. The Trading Engineer will work on C++ services at the core of the exchange—matching engine, market data pipeline, and gateways.

This role emphasizes performance and correctness, with growth from scoped tasks to independent ownership. You will contribute to order state, sequence integrity, and recovery behavior, while collaborating with a senior engineer to scale the system and improve deploys and observability in a fast-paced

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