About the role: Fintech startup building "Cursor for Finance" – you'll architect critical backend systems, work directly with CTO (.NET background), and shape technical direction. Fast-paced, high-ownership environment with real client deployments.

What You'll Do

• Build scalable, secure backend services for AI-powered financial intelligence platform serving institutional clients in MENA markets
• Develop RESTful APIs and real-time WebSocket services using Django + Channels for collaborative workflows and real-time data streaming
• Implement LangGraph-based agentic systems with RAG for financial analysis and research automation
• Own backend infrastructure decisions with clear service boundaries, optimizing for startup velocity and future scalability
• Design and optimize PostgreSQL databases (with pgvector for semantic search), Redis caching, and async task processing
• Deploy and maintain services on Google Cloud Platform using Docker and Kubernetes
• Implement security best practices for financial data handling – OAuth integration, API security, data encryption
• Build integrations with LLM API for intelligent document processing and conversational interfaces

What We Need

Required:

• 5+ years Python development (3+ with exceptional Django portfolio)
• Django expert – ORM, migrations, middleware, signals, best practices
• Django Channels – WebSocket patterns, async consumers, real-time communication
• Async/await – asyncio, concurrent programming, event loop management
• PostgreSQL – complex queries, indexing, optimization, connection pooling
• Redis – caching strategies, Channels layer, session management
• RESTful API design – Pydantic validation, request/response schemas, versioning
• Localization – building applications that support multiple languages (English/Arabic), internationalization (i18n) patterns
• Docker – containerization, multi-stage builds, docker-compose
• Testing – pytest, integration tests, test-driven development
• Security mindset – OAuth flows, JWT validation, input validation, SQL injection prevention, secrets management
• Cloud deployment – GCP/AWS experience (compute, storage, databases)
• Portfolio with production backend systems (fintech, SaaS, enterprise applications preferred)

Strong Plus:

• Elasticsearch/OpenSearch – full-text search, aggregations, index management for RAG systems and general search functionality
• Kubernetes – deployments, services, ingress, cluster management
• LLM integration – OpenAI/Anthropic APIs, streaming responses, token management, cost optimization
• RAG systems – vector databases, semantic search, embedding pipelines, retrieval strategies
• Background tasks – Celery/Dramatiq for async job processing
• LangGraph/LangChain – agentic workflows, state management, multi-agent orchestration
• gRPC/Protobuf – high-performance service communication
• CI/CD – GitHub Actions, GitOps, ArgoCD
• Observability – structured logging, distributed tracing (OpenTelemetry), monitoring (Prometheus/SigNoz)
• Financial data processing – time-series, market data, data validation

Nice to Have:

• Kafka/RabbitMQ – event-driven messaging
• NoSQL databases – MongoDB, document storage patterns
• Graph databases – Neo4j for relationship modeling
• .NET background – can collaborate on cross-platform architecture decisions
• Arabic language – working with Arabic text/documents
• Frontend awareness – basic understanding of React, TypeScript, or frontend patterns enables better API design and team collaboration
  

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