Python Lead

Job Summary We are seeking an experienced Lead Software Engineer with 6+ years of expertise in designing, implementing, and scaling solutions. This role requires strong leadership, hands-on development, and architectural skills to drive technical excellence and mentor the development team.

Key Responsibilities Technical Leadership & Architecture:

• Lead the end-to-end architecture, design, and development of scalable, high-performance applications using Python (Django, Flask, FastAPI).
• Design and implement low-latency, high-availability, and distributed systems for AI/ML-based applications.
• Ensure best practices in microservices, multi-tenant architecture, and event-driven programming.
• Drive cloud-native solutions across AWS leveraging serverless computing (AWS Lambda).
• Optimize database performance and implement efficient data modeling with SQL (PostgreSQL) and NoSQL (DynamoDB, MongoDB) databases.
• Architect and develop secure, modular, and reusable code following SOLID principles and design patterns.

Project Delivery & Development

• Collaborate with stakeholders to define technical solutions, ensuring alignment with business goals.
• Oversee integration of multiple data sources, APIs, and third-party libraries into a unified system.
• Enhance DevOps and CI/CD pipelines using Docker, Kubernetes, Jenkins, GitLab CI/CD.
• Lead performance tuning and debugging, ensuring smooth application execution.

Team Leadership & Mentorship

• Mentor and guide junior and senior developers, fostering a culture of technical excellence.
• Conduct code reviews, best practice sessions, and knowledge-sharing workshops.
• Drive Agile/Scrum methodologies for efficient project delivery.

Must-Have Skills & Qualifications:

• 5+ years of experience in Python development with strong leadership capabilities.
• Deep expertise in Django, Flask, and FastAPI frameworks.
• Strong knowledge of cloud technologies (AWS) and serverless architectures.
• Experience with microservices, containerization (Docker, Kubernetes), and API integrations.
• Advanced knowledge of SQL and NoSQL databases, ORMs (SQLAlchemy, Django ORM).
• Proficiency in authentication, authorization, and scalable application design.
• Strong skills in unit testing (pytest, unittest), debugging, and performance optimization.

Preferred

• Experience with AI/ML model deployment and big data frameworks (Apache Kafka, Spark).
• Familiarity with front-end technologies (React, Vue, HTML/CSS/JS).
• Expertise in CI/CD automation, Infrastructure as Code (Terraform, CloudFormation).