Python Developer - Lead

Company: Nature Technologies

Location: Kolkata (Hybrid Work Setup)

Employment Type: Full-time

At Nature Technologies, we're a Product Engineering Company building Born-AI platforms for global startups and enterprises. Our teams work with cutting-edge technologies to create intelligent, scalable, and high-performing digital products.

We're looking for an experienced Lead Python Developer with 7+ years of strong backend development expertise who can drive technical excellence, mentor developers, and contribute to designing robust, future-ready systems for global clients.

• Lead the architecture, design, and development of scalable Python-based applications and APIs.
• Collaborate with Product Managers, Architects, and cross-functional teams to define and deliver project roadmaps.
• Mentor and guide the Python development team through code reviews, design discussions, and best practices.
• Ensure system reliability, performance optimization, and secure coding standards.
• Oversee database design, API integrations, and deployment of microservices-based architectures.
• Stay updated on emerging technologies and suggest ways to integrate them into ongoing projects.
• Manage sprints, allocate tasks, and ensure timely project delivery following Agile methodologies.

• 7+ years of hands-on experience in Python development, with at least 2+ years in a lead or senior role.

• Strong expertise in FastAPI, Django, or Flask frameworks.

• Proven experience in designing and deploying RESTful APIs and microservices architecture.

• Proficiency with Docker, CI/CD pipelines, and cloud platforms (AWS/Azure/GCP).

• Strong knowledge of PostgreSQL, MongoDB, or MySQL.

• Proficient in Git/GitHub, Agile practices, and sprint/task management tools (Jira/Trello).

• Solid understanding of software design patterns, testing frameworks, and code optimization techniques.

• Experience managing Python projects using UV or similar tools.

• Knowledge of Kubernetes, DevOps pipelines, or cloud-native deployments.

• Exposure to AI/ML, data engineering, or automation frameworks.

Understanding of frontend technologies for end-to-end product collaboration.