Key Responsibilities

• Architect, build, and maintain a modular, multi-tenant SaaS backend using Python 3.11+, Django 4.2+, and Django REST Framework (DRF).
• Take ownership of REST API design, ensuring clean data modeling, comprehensive documentation (OpenAPI/drf-spectacular), and robust business logic separated into appropriate service layers.
• Optimize database performance by writing efficient PostgreSQL queries, managing complex migrations, indexing, and utilizing advanced ORM techniques.
• Develop, manage, and scale asynchronous workflows, external integrations, and background processing using Celery and Redis.
• Enforce strict entity-scoped data isolation, role-based authorization, and session/OTP authentication within a multi-tenant architecture.
• Champion code quality by writing comprehensive automated tests (pytest, factory-boy), keeping views thin, and delivering small, reviewable pull requests.Required Technical Skills & Qualifications
• Experience: Proven mid-to-senior level experience building and operating production-grade Python backend systems.
• Core Stack: Deep, hands-on expertise with Django and DRF, including serializers, permissions, custom actions, and API lifecycle management.
• Database: Strong PostgreSQL knowledge, spanning schema design, transaction handling, and query tuning. NoSQL knowledge is considered an advantage.
• Asynchronous Processing: Solid practical experience implementing and debugging background tasks with Celery and Redis.
• Testing & Tooling: Strong commitment to automated testing methodologies and experience with local development workflows using Docker, Poetry, and modern linters (e.g., Ruff).
• Architecture: Ability to reason about performance, scale, and operational reliability while working within modular, domain-driven codebases.

Bonus / Nice-to-Have

• Domain Experience: Background in data-heavy domains (sustainability, analytics, reporting) or handling complex import/export workflows and large file processing.
• SaaS Architecture: Deep understanding of multi-tenant systems, soft-delete patterns, and polymorphic models.
• Integrations: Experience integrating external providers (ERPs, AI APIs, complex third-party services).
• Tools: Modern development environment with AI-assisted tooling.