
Python Developer
3 weeks ago
Job Description :
We are looking for a strong individual contributor with deep expertise in React and Python, who can lead development efforts and collaborate closely with engineers to design and build complex software, tools, and scripts. Demonstrate a solid background in designing and implementing APIs, data structures, algorithms and ensuring seamless integration and functionality within applications. AI/ML is not the only evaluation criteria, exposure to hands-on development in that ecosystem is added advantage.
Core Roles and Responsibilities :
- Write clean, efficient, and reusable Python code
- Develop scalable and robust backend components and APIs
- Integrate user-facing elements developed by frontend developers with server-side logic
- Connect the application with external systems or APIs
- Design and manage databases using SQL or NoSQL technologies
- Write efficient queries and optimize database performance
- Write unit, integration, and functional tests
- Debug and resolve issues or bugs in code
- Automate deployment processes using tools like Docker, Jenkins, or Ansible
- Maintain and upgrade existing applications for performance, scalability, and security
- Implement services designed by AI/ML engineers
- Work on microservices-based architecture end to end
Must-Have Skill Set :
- Strong Python development experience
- Frameworks: Django, Flask, or FastAPI
- Hands-on experience with PostgreSQL, MySQL, or MongoDB
- Experience with RESTful API development and system integration
- Good understanding of Git and version control workflows
- Familiarity with Docker and containerized deployment
- Experience working with microservices architecture
- Strong problem-solving ability
- Good communication and collaboration skills
- Willingness to learn and adapt to new technologies
Good-to-Have Skill Set :
- Frontend development exposure using React
- Experience with Kubernetes and AWS for deployment and scaling
- Knowledge of CI/CD tools like Jenkins or Ansible
- Understanding of NoSQL vs SQL performance trade-offs
- Exposure to integrating with AI/ML-driven services or APIs
- Attention to detail in testing, documentation, and debugging
- Experience with logging and monitoring tools (e.g., Prometheus, ELK stack)
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