Our client is looking for a Senior Python Engineer to develop high-performance backend services and work across a fast-moving, AI-enhanced engineering environment.

Requirements:

• 3–5+ years of backend development experience
• 2–3+ years of production Python/FastAPI experience
• Strong async programming skills (async/await, non-blocking I/O)
• Expertise with PostgreSQL, including query optimization and indexing
• Azure cloud services experience (required): Blob Storage, Azure Kubernetes Service (AKS), Azure AI Search
• Experience with Docker and microservices architecture
• Fluency with AI coding assistants (required): GitHub Copilot, Cursor, or similar
• Experience with RESTful API design, authentication, and CORS
• Familiarity with SQLAlchemy 2.0, asyncpg, and Alembic migrations
• Experience with Redis caching, Pydantic v2, and pytest
• Understanding of asyncio vs multiprocessing trade-offs
• Experience with Kubernetes, Helm charts, or cloud deployments (preferred)
• Optional but valuable: LangChain, OpenAI APIs, vector databases, Cosmos DB, job queues (Celery/RQ), performance profiling tools

Role and Responsibilities:

• Design and build async FastAPI services with low-latency, production-grade performance
• Develop RESTful APIs and microservices across multiple active projects
• Implement WebSockets and event-driven patterns for real-time updates
• Optimize database operations, including connection pooling and JSONB-heavy queries
• Design PostgreSQL schemas with proper indexing, foreign keys, and multi-tenant isolation
• Build background task systems with retry logic, idempotency, and scheduling
• Containerize services using Docker and deploy to Azure Kubernetes Service using Helm
• Configure middleware, CORS policies, structured logging, and environment-based settings
• Integrate Azure Blob Storage for document workflows and large file handling
• Implement caching strategies with Redis to improve performance
• Collaborate closely with Data Science teams to productionize LLM pipelines and evaluation flows
• Work with Frontend engineers to define API contracts and async job orchestration
• Integrate (or learn to integrate) LangChain, OpenAI APIs, vector DBs, and Azure AI Search for AI-enhanced features
• Communicate technical decisions clearly and adapt across multiple architectures
• Use AI coding assistants to accelerate delivery while maintaining code quality

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