Technical Requirements
Core Stack
Python 3.11+ and Django 4.2+ with Django REST Framework
PostgreSQL with multi-tenant architecture (schema-per-tenant isolation)
Celery + Redis for asynchronous task processing and caching
Django Channels for WebSocket/real-time features
JWT authentication and role-based access control (RBAC)
Apache Airflow (DAGs, scheduling, workflow automation)
Key Skills
Building RESTful APIs with DRF (serializers, viewsets, authentication)
Complex database design and ORM optimization
Workflow orchestration using Apache Airflow
Distributed task queues and background job processing
WebSocket consumers for real-time updates
Multi-tenant SaaS architecture patterns
Git version control and Linux/Unix environments
Highly Desired
AI/ML API integration (Google Gemini, OpenAI)
ITSM platform experience (ServiceNow, Jira Service Management)
Hands-on experience with Apache Airflow in production environments
Service Layer and Repository design patterns
OAuth 2.0 and third-party integrations (Slack, PagerDuty)
Requirements
8+ years Python development, 5+ years production Django experience
Strong PostgreSQL skills (schema design, complex queries, optimization)
Hands-on experience with Apache Airflow for workflow orchestration, DAG development, and scheduling of data pipelines
Experience with Celery task queues and Redis in production
Proven track record building scalable REST APIs
Understanding of multi-tenant architecture and data isolation
Excellent problem-solving and code organization skills
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