Senior Developer - Backend [Python + Fast API + Django]

Job Title Senior Developer - Backend (Python + Fast API + Django) Type Full-Time

: Shopperbeats is one of the fastest-growing e-commerce companies based in Australia, with three offices in India. We offer a diverse catalog of thousands of products across categories such as Home & Garden, Pet Supplies, Sporting & Fitness Goods, Accessories, Health & Beauty Essentials, Electronics, Automobiles, and more. About Role: We are looking for an experienced Python Developer Team Lead to guide our development team, architect scalable solutions, and ensure the delivery of high-quality applications. The ideal candidate will be both a strong hands-on Python developer and an inspiring leader who can mentor a team, manage projects, and drive technical excellence.

: • Lead, mentor, and manage a team of Python developers. • Architect, design, and implement scalable backend systems. • Write clean, efficient, and testable Python code (Django, Flask, or FastAPI). • Oversee code reviews, best practices, and technical documentation. • Collaborate with cross-functional teams (product, design, DevOps). • Ensure timely delivery of projects while maintaining high code quality. • Manage task allocation, sprint planning, and performance reviews. • Stay up-to-date with emerging technologies and recommend improvements.

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: • 5+ years of hands-on Python development experience, with at least 2 years in a leadership role. • Strong knowledge of Python frameworks (Django, Flask, FastAPI). • Solid experience with REST APIs, microservices, and database design (PostgreSQL, MySQL, MongoDB). • Familiarity with front-end technologies (React, Next.js, or Angular) is a plus. • Strong understanding of DevOps practices, CI/CD pipelines, and cloud platforms (AWS, GCP, or Azure). • Proficiency in Git, Docker, and Kubernetes. • Excellent leadership, communication, and problem-solving skills. • Experience with Agile/Scrum methodologies. Nice-to-Have Skills • Exposure to AI/ML frameworks (TensorFlow, PyTorch). • Knowledge of data engineering pipelines (Airflow, Spark). • Experience in scaling applications for high traffic environments.