Python Software Architect

2 weeks ago

Bengaluru, Karnataka, India beBeeDevops Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Python Engineer

We are seeking an experienced and skilled Python Engineer to join our team on a long-term contract basis. The ideal candidate will have a deep understanding of Python programming, object-oriented design, and modern software development practices.

Key Responsibilities:
  • Design, develop, and maintain Python-based applications following best practices.
  • Implement object-oriented programming concepts and design patterns to create clean and reusable code.
  • Utilize Python features like generators, decorators, and context managers for efficient coding.
  • Optimize existing code, perform debugging, and ensure high performance.
  • Follow Software Development Life Cycle (SDLC) methodologies including Agile, Scrum, and Kanban.
  • Work with version control systems like GitLab for code management.
  • Implement unit testing and test-driven development using PyTest and Unittest frameworks.
  • Design and develop RESTful APIs using frameworks such as FastAPI, Flask, or Django REST Framework.
  • Participate in continuous integration and deployment pipelines using Jenkins and GitLab CI.
Required Skills:
  • Strong knowledge of Python, object-oriented programming, and design patterns.
  • Familiarity with Python-specific constructs such as generators, decorators, and context managers.
  • Excellent code optimization and debugging skills.
  • Sound understanding of SDLC methodologies (Agile, Scrum, Kanban).
  • Experience with version control tools like GitLab.
  • Hands-on experience with unit testing and test-driven development using PyTest or Unittest.
  • Experience in setting up and working with CI/CD pipelines (Jenkins, GitLab CI).
  • Strong experience in designing and developing RESTful APIs (FastAPI, Flask, Django REST Framework).
Preferred Skills:
  • Working knowledge of databases such as MySQL.
  • Experience with Jinja templating.
  • Awareness of network domain concepts.
  • Basic understanding of Cloud platforms and DevOps practices.
  • Experience with containerization and orchestration tools like Docker, Kubernetes, and Helm charts.

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