Python Developer - Data Structure & Algorithm

Key Responsibilities

• Design, develop, and maintain high-performance, scalable, and secure applications using Python.
• Write clean, well-structured, and efficient code following best practices and coding standards.
• Translate complex business requirements into technical designs and implement them effectively.
• Develop and manage robust backend systems using Python frameworks such as Django, Flask, or FastAPI.
• Design, develop, and consume RESTful APIs and potentially GraphQL APIs for seamless integration with frontend applications and other services.
• Work extensively with various databases (e.g., PostgreSQL, MySQL, MongoDB, Redis) for data modeling, querying, optimization, and management.
• Design and optimize database schemas for performance and scalability.
• Implement comprehensive unit, integration, and functional tests to ensure code reliability and stability.
• Actively participate in code reviews, providing constructive feedback and ensuring adherence to architectural guidelines and quality standards.
• Collaborate with DevOps teams to deploy, monitor, and maintain applications in production environments.
• Work with containerization technologies like Docker and orchestration tools like Kubernetes (familiarity is a plus).
• Integrate with CI/CD pipelines for automated testing and deployment.
• Analyze, troubleshoot, and resolve complex technical issues and bugs efficiently.
• Identify performance bottlenecks and implement solutions to optimize application speed and responsiveness.
• Work effectively within an Agile/Scrum team, actively participating in all phases of the software development lifecycle.
• Collaborate with cross-functional teams including product managers, UI/UX designers, and other developers.
• Mentor junior developers, sharing knowledge and promoting best practices.
  

What You Bring

• 5-7 years of solid professional experience as a Python Developer.
• Deep understanding of Python fundamentals, advanced concepts, data structures, algorithms, and Object-Oriented Programming (OOP) principles.
• Strong hands-on experience with at least one major Python web framework (Django, Flask, or FastAPI).
• Proven experience in designing and developing robust RESTful APIs.
• Proficient in working with relational databases (e.g., PostgreSQL, MySQL) and ORMs (e.g., SQLAlchemy, Django ORM).
• Experience with NoSQL databases (e.g., MongoDB, Redis) is a strong plus.
• Expert-level proficiency with Git and collaborative development workflows.
• Experience writing unit, integration, and end-to-end tests for Python applications.
• Excellent analytical and problem-solving skills with a keen attention to detail.
  

Desired Skills (Good To Have)

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Knowledge of asynchronous programming in Python
• Experience with message queues (e.g., RabbitMQ, Kafka).
• Exposure to frontend technologies (HTML, CSS, JavaScript, React/Angular/Vue) for full-stack understanding.
• Experience with Big Data technologies or data pipelines if applicable to the company's domain.