
Sr. Python Developer
4 weeks ago
About This Position
You will contribute to high-impact projects involving quantitative models, risk frameworks, and trade optimization strategies. This role requires hands-on experience in developing scalable systems, building robust databases, and implementing complex algorithms.
What are you going to do
- Design, develop, and maintain high-performance, scalable, and secure backend services using Python.
- Write clean, efficient, and well-documented code, following best practices and company coding standards.
- Work with modern Python frameworks such as Django, Flask, or FastAPI to build RESTful APIs and microservices.
- Collaborate with cross-functional teams to define and implement new features and improvements.
- Participate in code reviews, peer programming, and team knowledge-sharing sessions.
- Troubleshoot, debug, and optimize existing systems for performance and reliability.
- Analyze requirements and translate them into effective technical solutions.
- Integrate with third-party services, APIs, and data sources.
- Contribute to Agile ceremonies including sprint planning, reviews, and retrospectives.
- Write unit and integration tests to ensure software quality and reliability.
- Ensure timely delivery of assigned tasks and proactively communicate progress and blockers.
You Need To Have
- 3+ years of hands-on experience in software development using Python.
- Bachelors degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
- Solid understanding of at least one Python web framework: Django, Flask, or FastAPI.
- Experience with data manipulation and analysis libraries such as Pandas and NumPy.
- Familiarity with relational and/or NoSQL databases such as MySQL, PostgreSQL, MongoDB, or Firebase.
- Knowledge of message queues and task workers (e.g., Celery, Redis, RabbitMQ).
- Basic understanding of RESTful API design and HTTP protocols.
- Experience with version control systems like Git.
- Exposure to cloud platforms (AWS, GCP, etc.) and containerization tools (Docker) is a plus.
- Basic understanding of DevOps principles and practices (e.g., CI/CD).
- Understanding of the software development lifecycle and Agile methodologies.
- Good knowledge of data structures, algorithms, and system design principles.
- Basic understanding of AI/ML concepts and tools is a plus.
- Strong debugging and problem-solving skills.
- Good communication skills and the ability to work collaboratively in a team environment.
- A portfolio of side projects or contributions to open-source repositories (GitHub) is a big plus.
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