Python Lead Engineer

Role & 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.

Preferred candidate profile

inimum 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.

Preferable

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