We’re looking for a senior or AI-fluent mid-level engineer with deep expertise in async Python/FastAPI and hands-on experience with Azure cloud services. You’ll build and scale low-latency APIs, optimize PostgreSQL performance, and collaborate closely with Data Science and Frontend teams.

Core Requirements

• 3–5+ years of backend development experience
• 2–3+ years of production experience with Python/FastAPI
• Azure Cloud (required): Blob Storage, Azure Kubernetes Service (AKS), AI Search
• Strong command of async programming and PostgreSQL optimization
• Experience with Docker and microservices architectures
• Proven fluency with AI coding assistants (required): GitHub Copilot, Cursor, or similar

Technical Depth

• Expert in async/await patterns and non-blocking I/O in Python
• Skilled in PostgreSQL optimization — complex queries, indexing, asyncpg connection pooling
• Solid understanding of RESTful API design, including JWT auth and CORS configuration
• Experience managing large-scale database schemas (50+ tables, complex relationships)
• Strong focus on performance optimization (P95 latency, connection pooling, caching)
• Ability to choose between asyncio and multiprocessing for the right workload

Tech Stack

• Core: Python 3.11+, FastAPI, async/await
• Data Layer: PostgreSQL, asyncpg, SQLAlchemy 2.0, Alembic
• Azure (required): Blob Storage, AKS, AI Search, Cosmos DB
• Deployment: Docker, Kubernetes, Helm
• AI/ML: LangChain, OpenAI APIs, vector databases
• Supporting Tools: Redis, Pydantic v2, pytest

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