Remote C++ Low-Latency Data Pipeline Engineer

M I R A L.L.C; Georgia; On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Immediate impact

Elite global network

Top-tier infrastructure

Remote work freedom

Flexible schedule

40 paid days off

Job summary

MIRAL.LLC in the United States seeks a C/C++ Software Engineer who loves working with complex data feeds and tackling high-stakes technical challenges in a quantitative trading environment.

You will build exchange gateways, optimize data throughput, evolve data models, and refactor infrastructure to scale with growing market volumes, all while collaborating with a global team. Remote work available with competitive compensation.

Qualifications

• Experience writing clean, efficient C++ in modern standards (C++17/20).
• Proven track record handling massive real-time data streams.
• Deep understanding of multithreaded programming and CPU memory models.
• Strong knowledge of Linux networking and system internals.
• Solid CS fundamentals in algorithms and data structures.
• Professional level of written and spoken English for global collaboration.
• Experience with ultra-low latency, sub-microsecond development.
• Background in HFT, telecom routing, or high-performance game engines.

Responsibilities

• Build gateways to connect with new financial exchanges globally.
• Fine-tune data connectors to minimize ingestion latency.
• Implement support for new data structures and asset types in our pipeline.
• Modernize and re-architect infrastructure to scale with market volumes.

Skills

Modern C++ (C++17/20)

High-throughput architecture

Concurrency & multithreading

Networking & Linux systems

Algorithms & data structures

English communication

Ultra-low latency development

HFT/high-performance engines

Job description

MIRAL.LLC in the United States seeks a C/C++ Software Engineer who loves working with complex data feeds and tackling high-stakes technical challenges in a quantitative trading environment.

You will build exchange gateways, optimize data throughput, evolve data models, and refactor infrastructure to scale with growing market volumes, all while collaborating with a global team. Remote work available with competitive compensation.