Senior Python Developer
3 semanas atrás
Senior Python Developer
Location: Latin America (100% Remote)
Schedule: 8 hours/day with 4 hours overlap with PST (8 PM – 12 AM IST)
Salary: USD 10-14/hr (Independent Contractor)
About the Role
We are looking for a world-class Python Developer, someone who lives and breathes code, thrives on solving complex engineering challenges, and constantly optimizes for performance.
As part of the Top Coder Track, you will work on high-performance systems powering large-scale AI and data pipelines, collaborating closely with elite AI research and infrastructure teams. This is a pure coding role, perfect for developers who excel at algorithmic problem-solving, system design, and have proven themselves on platforms like LeetCode, Codeforces, HackerRank, or Kaggle.
This is a pure coding role, ideal for developers who excel at algorithmic problem-solving and system design, and have demonstrated excellence on platforms such as LeetCode, Codeforces, HackerRank, or Kaggle.
Key Responsibilities
- Design, build, and optimize high-performance Python systems for AI and large-scale data workflows.
- Write modular, clean, and production-ready Python code emphasizing scalability and maintainability.
- Collaborate with data, infrastructure, and research engineers to deliver reliable backend components.
- Implement efficient algorithms and data structures for real-world performance challenges.
- Continuously explore and adopt modern Python tools, frameworks, and performance techniques.
Requirements
- 4+ years of professional experience writing Python in production environments.
- Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
- Expert-level proficiency in Python and core libraries — Pandas, NumPy, AsyncIO, FastAPI, or similar.
- Proven track record on competitive coding or data challenge platforms such as LeetCode, Codeforces, HackerRank, or Kaggle.
- Strong foundation in data structures, algorithms, and computational problem-solving.
- Hands-on experience with system design, clean architecture, and performance optimization.
- Working-level proficiency in Machine Learning / Data Science concepts.
Preferred Qualifications
- Experience with distributed systems, APIs, or large-scale data processing pipelines.
- Familiarity with cloud platforms (AWS, GCP, Azure) and CI/CD workflows.
- Contributions to open-source projects or developer tooling.
- Comfort working in fast-paced, research-oriented environments
Bonus Points
- Recognized performance in Kaggle, Codeforces, ICPC, or TopCoder contests.
- Deep curiosity for performance tuning, scalability, and elegant code design.
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