Remote C++ Systems Engineer - High-Performance Linux

BairesDev; United States; Remote; MXN 2,260,000 - 3,390,000; Full time

Benefits offered by this job

100% remote work

Competitive USD compensation

Equipment provided

Flexible hours

Parental leaves & holidays

Multicultural team

Job summary

BairesDev, a global software engineering partner, is seeking a C++ Systems Engineer to join our remote team. You will design and develop high-performance, low-level software powering our core infrastructure across Linux environments.

In this role you’ll implement kernel-adjacent code, optimize memory usage and CPU utilization, and collaborate with engineers to set architectural standards for scalable systems.

Qualifications

• 4+ years of experience in Software Engineering with a focus on systems programming.
• Proven expertise in developing low-level systems software using C++.
• Deep understanding of Linux systems and operating system internals.
• Experience building performance-critical infrastructure and system libraries.
• Advanced proficiency in English.

Responsibilities

• Design and develop performance-critical systems software using C++ and low-level APIs.
• Implement and optimize operating system components and core system libraries for Linux environments.
• Develop kernel-adjacent software and drivers to interface directly with hardware and OS internals.
• Analyze and optimize system performance, identifying bottlenecks in memory management and CPU utilization.
• Build robust and scalable infrastructure components that serve as the foundation for higher-level applications.
• Collaborate with engineering teams to define architectural standards for high-performance systems.

Skills

C++

Linux systems

Performance optimization

English proficiency

Job description

BairesDev, a global software engineering partner, is seeking a C++ Systems Engineer to join our remote team. You will design and develop high-performance, low-level software powering our core infrastructure across Linux environments.

In this role you’ll implement kernel-adjacent code, optimize memory usage and CPU utilization, and collaborate with engineers to set architectural standards for scalable systems.