Python Lead Developer

Key Responsibilities

Backend Engineering & API Development

• Design, develop, and maintain scalable backend systems using Python (3.x)
• Build robust APIs using Django, Flask, and FastAPI
• Develop reusable components, custom middleware, and high-performance services
• Ensure adherence to RESTful standards and best practices

Architecture & System Design

• Lead the design and implementation of microservices and distributed systems
• Drive architectural decisions, technology selection, and platform evolution
• Ensure systems are scalable, resilient, and secure

Database & Data Engineering

• Work extensively with Oracle, PostgreSQL, and MySQL
• Perform data modeling, query optimization, and transaction management
• Design efficient data pipelines and ensure data integrity across systems

DevOps & CI/CD

• Implement and enhance CI/CD pipelines for automated testing and deployment
• Promote DevOps best practices for reliability, scalability, and monitoring
• Collaborate with infrastructure teams on cloud and deployment strategies

Production Support & Problem Resolution

• Lead troubleshooting of complex production issues across systems
• Analyze performance bottlenecks and optimize system efficiency
• Ensure high availability and reliability of applications

Leadership & Collaboration

• Provide technical leadership and mentorship to development teams
• Collaborate with cross-functional stakeholders, product teams, and architects
• Drive code quality, best practices, and engineering excellence

Required Skills & Qualifications

• 10+ years of experience in software development with strong focus on Python
• Hands-on expertise in Django, Flask, FastAPI
• Strong experience in REST APIs, microservices, and distributed systems
• Deep knowledge of Oracle, PostgreSQL, and relational databases
• Proficiency in PL/SQL and query optimization
• Experience with CI/CD tools, DevOps practices, and automated testing
• Strong problem-solving and debugging skills in complex environments

Good to Have

• Experience with cloud platforms (AWS/Azure/Google Cloud Platform)
• Exposure to containerization (Docker, Kubernetes)
• Knowledge of event-driven architecture and messaging systems