Low-Latency C++ Systems Engineer for Trading Infrastructure

Algocor; Fatih; On-site; TRY 350,000 - 550,000; Full time

Benefits offered by this job

Fully paid medical insurance

On-site gym

Wellness activities

Casual dress code

Job summary

Algocor is building high-performance systems for algorithmic trading. The Software Engineer — C++ role focuses on the systems layer where performance, memory behavior, and concurrency are core concerns.

You will work on low-latency trading infrastructure in a Linux environment, writing clean C++ and contributing to architecture decisions. Ideal candidates have strong C++ expertise (C++17+), deep Linux knowledge, and a genuine interest in capital markets and trading infrastructure.

Qualifications

• Proficient in modern C++ (C++17+) for performance-sensitive environments.
• Strong Linux systems programming experience (processes, threads, I/O, memory).
• Focus on latency, throughput, profiling, and optimization trade-offs.
• Understanding of memory architecture, caches, synchronization, and concurrency.
• Experience building networked applications using sockets or low-level networking APIs.

Responsibilities

• Develop high-performance, low-latency systems for trading infrastructure.
• Write clean, readable, and scalable C++ code (C++17+).
• Design reusable components with modern C++ features.
• Profile, debug, and optimize systems under strict latency constraints.
• Collaborate with researchers and engineers to take ideas to production.
• Contribute to architecture decisions in complex, performance-sensitive codebases.

Skills

Modern C++

Linux systems

Performance mindset

Memory & concurrency

Low-level networking

Problem solving

Collaboration

Curiosity about trading

Job description

Algocor is building high-performance systems for algorithmic trading. The Software Engineer — C++ role focuses on the systems layer where performance, memory behavior, and concurrency are core concerns.

You will work on low-latency trading infrastructure in a Linux environment, writing clean C++ and contributing to architecture decisions. Ideal candidates have strong C++ expertise (C++17+), deep Linux knowledge, and a genuine interest in capital markets and trading infrastructure.