This is a remote position.
Sr. Python Developer Qualifications
Technical Skills:
Strong Python proficiency: The candidate should demonstrate in-depth knowledge of Python programming, including expertise in Python 3.x syntax and libraries. They should be able to write clean, efficient, and maintainable Python code.
Relevant web development skills (if applicable): If the role involves web development, the candidate should have experience with web frameworks like Django, Flask, or FastAPI.
Database knowledge and experience: The candidate should show competence in working with databases, including SQL and possibly NoSQL databases like PostgreSQL or Redis. Experience with ORM libraries like Django ORM and SQLAlchemy.
Version control proficiency (e.g., Git): The candidate should be adept at using version control systems, such as Git, to manage code repositories.
Familiarity with testing frameworks and DevOps tools: Look for candidates who are comfortable with testing frameworks like pytest and have experience with DevOps practices, including Docker, and cloud platforms like AWS.
Familiarity with microservice architecture: The candidate should have experience working with microservice and event driven architecture.
Experience:
Years of experience as a Python developer: For a Sr. Python developer, 5+ years of professional experience working with Python and 2+ years of experience with Django or FastAPI
Experience with micro-service or service architecture will be a plus
A portfolio of relevant projects and contributions: Candidates should provide examples of projects they've worked on, showcasing their role, responsibilities, and impact. These could be personal projects, open-source contributions, or work-related projects.
Domain-specific experience (if required by your industry): Depending on your industry, candidates may need expertise in specific domains, such as finance, healthcare, or e-commerce.
Problem-Solving and Algorithmic Skills:
Ability to solve complex problems and optimize code: Candidates should demonstrate problem-solving skills by explaining how they've tackled challenging technical issues and optimized code for efficiency.
Demonstrated algorithmic thinking: During interviews or coding assessments, evaluate their ability to devise and implement algorithms to solve real-world problems.
Soft Skills:
Effective communication skills: Assess their ability to articulate technical concepts clearly, collaborate with team members, and potentially interact with non-technical stakeholders.
Leadership and mentorship abilities: Look for candidates who can lead and guide a team, provide technical leadership, and mentor junior developers.
Adaptability to new technologies and project requirements: Ask about their experience in adapting to evolving technologies and changing project needs.
Software Development Practices:
Understanding of software development methodologies: Evaluate their familiarity with development methodologies like Agile, Scrum, or others your organization follows.
Familiarity with best practices: Assess their knowledge of best practices, such as conducting code reviews, implementing continuous integration, and maintaining clean code.
Portfolio and GitHub:
Review their GitHub profile or online portfolio to see their code contributions and open-source projects. Assess the quality, quantity, and relevance of their work.
Coding Assessments and Interviews:
Conduct technical interviews, coding challenges, or pair programming sessions to evaluate their coding skills, problem-solving abilities, and how well they fit within your team.
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