Technical Lead - Python

Job Summary

We are looking for an experienced Python Tech Lead who can guide a team of developers to build clean, scalable, maintainable, and production-ready applications. The ideal candidate has hands-on experience taking Python applications into production, enforcing engineering best practices, and contributing to end-to-end architecture across backend, frontend, and modern AI/ML ecosystems.

Responsibilities

• Lead the design, development, and optimization of scalable Python-based applications.
• Collaborate with cross-functional teams to define software architecture and system requirements.
• Architect, develop, and deploy APIs, microservices, and backend components.
• Mentor and guide junior developers through code reviews and technical best practices.
• Build integrations with cloud-native services (AWS, Azure, or GCP) and containerized environments (Docker, Kubernetes).
• Collaborate with front-end teams to enable seamless integration with backend services.
• Develop test plans, write unit tests, and ensure code quality and scalability.
• Leverage knowledge of AI/ML, data structures, algorithms, and design patterns to solve complex problems efficiently.

Requirements

• Minimum 10+ years of professional experience in Python development.
• Experience of leading a team of 3-4 people for last 2 years
• Hands-on experience in building Python applications, executing them for production, and maintaining them in a live environment actively.
• Proficiency in Python frameworks like Django, Flask, or FastAPI.
• Strong knowledge of RESTful API design and integration.
• Experience with SQL and NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
• Familiarity with cloud platforms (AWS, GCP, Azure) and DevOps tools.
• Understanding microservices architecture and containerization.
• Excellent problem-solving and debugging skills.
• Strong communication and leadership abilities.
• Exposure to Agile development methodologies such as Scrum or Kanban.
• Experience working in enterprise-grade systems or platforms.

Good To Have

• Knowledge or hands-on experience with AI/ML or GenAI.
• Familiarity with automation platforms and orchestration engines.
• Experience in integrating third-party APIs and services.