Senior Python Developer

Senior Python Developer

Years of Exp: 8-12 Years

Position Overview

We are looking for a Senior Python Developer who is a self-starter and thrives on designing and delivering high-quality, scalable backend solutions. You'll be a key member of our backend engineering team, responsible for designing, building, and maintaining robust APIs, managing high-concurrency systems, and implementing best practices to ensure reliability and performance.

Key Responsibilities

• Design, develop, and maintain RESTful APIs using Python with Flask or FastAPI.
• Implement robust database session management with a focus on high concurrency and thread safety (SQLAlchemy or equivalent).
• Apply dependency injection patterns to create testable and maintainable code.
• Break down complex requirements into independent, manageable tasks and deliver them incrementally.
• Collaborate with frontend developers, data scientists, and DevOps engineers to integrate backend services with web/mobile apps, AI models, and cloud infrastructure.
• Optimize backend services for performance and scalability, identify bottlenecks, and implement solutions.
• Design and optimize database schemas for performance and data integrity in PostgreSQL or MySQL.
• Containerize backend services using Docker and orchestrate deployments with Kubernetes.
• Leverage cloud platforms such as Google Cloud Platform (GCP) to deploy and scale services.
• Document APIs using OpenAPI/Swagger for internal and external consumption.

Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
• Extensive experience with Python backend development using Flask or FastAPI.
• Strong expertise with SQLAlchemy or equivalent ORM for robust session management and high-concurrency, thread-safe applications.
• Practical experience with dependency injection and modular code design.
• Ability to break down complex requirements into smaller, independent deliverables.
• Proficiency in designing scalable database schemas and optimizing queries for performance.
• Experience with containerization (Docker) and orchestration (Kubernetes) in production environments.
• Hands-on experience with cloud platforms (preferably GCP) and cloud-native technologies.
• Familiarity with data processing libraries (Pandas, NumPy) for analytics or ML tasks is a plus.
• Excellent problem-solving skills, attention to detail, and ability to work independently with minimal supervision.
• Strong communication skills and ability to collaborate effectively with cross-functional teams.