Description

You will design and implement complex algorithms, core library code, and high-performance systems.

This role is on-site.

Responsibilities

• Develop and maintain large, fine-grained unit test suites to ensure code testability.
• Perform benchmarking and performance profiling to optimize system efficiency.
• Manage code abstraction and refactoring to maintain high standards of code style.
• Collaborate within an engineering team of 5–8 members to balance individual tasks with iterative improvements.
• Design complex mathematical computations and algorithmic implementations.

Required Skills

• 10+ years of professional programming experience.
• 5+ years of Python development experience using versions 3.9 or newer.
• Expert-level proficiency in Python beyond basic scripting.
• Strong object-oriented programming (OOP) and code abstraction skills.
• Deep understanding of algorithms and mathematical computation.
• Experience with CI/CD pipeline processes, including scanning, testing, building, and deployment.
• Hands-on experience with Docker and containerized systems.
• Bachelor's degree in Computer Science.

Preferred Skills

• Experience with dynamic code generation, including meta-classes and type generation.
• Proficiency with Pandas, NumPy, Dask, Spark, or PySpark.
• Experience with AWS services.

Key Skills

Education

Bachelor's degree in Computer Science