Description
We are looking for a highly skilled and motivated C++ Software Engineer to join our team.
The ideal candidate will have extensive experience in modern C++ development and a deep understanding of compilers, operating systems, and software development tools. You will work on designing, developing, and optimizing software solutions for complex systems, with a focus on graph theory and related algorithms.
Key Responsibilities
- Develop, maintain, and optimize C++ applications for Linux and Windows environments.
- Utilize and configure GCC and Clang toolchains for cross-platform development.
- Write and maintain automated scripts using Bash and batch scripting for build and deployment processes.
- Collaborate using Visual Studio and other IDEs to build high-performance applications.
- Design, implement, and test graph-related algorithms using C++ and some Third party libraries such as Boost.
- Write and maintain unit tests using gTest and mock objects with gMock to ensure high code quality.
- Troubleshoot and debug cross-platform software issues.
- Work with version control systems (e.g., Git) and participate in code reviews.
- Collaborate with cross-functional teams to define requirements and system architecture.
Required Skills & Experience
- Strong proficiency in C++ (C++11/14/17/20), including STL and modern design patterns.
- Expertise in using GCC and Clang compilers in Linux, as well as VisualStudio in Windows.
- Solid understanding of Linux and Windows operating systems.
- Proficiency in Bash scripting and familiarity with PowerShell or Windows batch scripting.
- Experience with Visual Studio as a development and debugging environment.
- Strong knowledge of gTest and gMock for unit testing and mocking.
- Familiarity with Boost libraries, particularly those relevant to graph algorithms and data structures.
- Strong understanding of graph theory, algorithms, and data structures.
Preferred Qualifications
- Experience with performance profiling and optimization.
- Knowledge of CI/CD pipelines and build systems (e.g., CMake, Ninja).
- Familiarity with containerization tools (e.g., Docker).
- Background in contributing to open-source projects.
- Strong analytical and problem-solving skills.
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