Job Summary:

We are seeking a highly skilled Cython Developer with expertise in performance optimization and low-level programming to join our dynamic team. The ideal candidate will have strong proficiency in Python and C, with experience in optimizing performance-critical applications and building high-performance data processing systems.

Key Responsibilities:

Design, develop, and optimize performance-critical Python applications using Cython for significant speed improvements.
Profile Python code to identify bottlenecks and refactor with Cython to enhance execution speed and memory efficiency.
Write and compile Cython code, integrating C/C++ libraries with Python applications for optimal performance.
Develop high-performance data structures and algorithms using SIMD and multi-core optimizations.
Collaborate with data scientists and engineers to optimize scientific computing libraries like NumPy, SciPy, and pandas.
Write and maintain unit tests and integration tests to ensure code quality and reliability.
Manage memory manually and implement low-level programming techniques for resource-intensive applications.
Create and maintain technical documentation for optimized codebases and performance benchmarks.
Work with cross-functional teams to understand performance requirements and deliver scalable solutions.
Participate in code reviews and contribute to best practices for performance engineering.

Required Skills & Experience:

6–8 years of hands-on experience in Python development with focus on performance optimization.
Strong proficiency in Python and C/C++ programming languages.
Deep expertise in Cython syntax, extensions, and performance optimization techniques.
Experience with profiling tools and performance analysis to identify and resolve bottlenecks.
Solid understanding of low-level programming concepts, including memory management and pointer operations.
Familiarity with compiler tools such as gcc and clang for building optimized binaries.
Strong experience with NumPy, SciPy, pandas, or other scientific computing libraries.
Knowledge of data structures, algorithms, and system design principles.
Experience with Git and version control practices.
Understanding of parallel programming, multi-threading, and asynchronous processing.
Ability to work independently and manage multiple priorities in a fast-paced environment.

Preferred Qualifications:

Experience with JIT compilation techniques such as Numba or PyPy.
Knowledge of SIMD instructions and vectorization for performance gains.
Familiarity with data analytics frameworks and caching optimization.
Experience working with high-stakes, large-scale production infrastructure.
Knowledge of RESTful services and backend development using Python frameworks.
Bachelor's or master's degree in computer science, Software Engineering, or related field.

Cython Engineer