Senior Python Developer (FastAPI) [q30h8]

We're looking for a Senior Python Developer to join our growing engineering team and help build high-performance, scalable backend systems. This role is ideal for someone who thrives in a fast-paced, collaborative environment and enjoys solving complex technical challenges using modern Python frameworks and cloud-native technologies.

You'll play a key role in designing low-latency APIs, optimizing databases at scale, and working closely with Data Science and Frontend teams to deliver production-ready platforms.

What You'll Do

• Design and build high-performance APIs using Python and FastAPI
• Develop and maintain async Python services using modern concurrency patterns
• Optimize and scale PostgreSQL databases, including query performance and indexing strategies
• Build and deploy containerized microservices using Docker and Kubernetes
• Collaborate with Data Science teams to integrate AI/ML capabilities into backend services
• Work closely with Frontend teams to ensure efficient API design and performance
• Deploy and manage services in Azure cloud environments
• Contribute to architecture decisions and system design
• Leverage AI coding assistants to accelerate development workflows

Do you have experience in Redis?, * 3-5+ years of backend development experience

• 2-3+ years of hands-on experience with Python and FastAPI in production
• Strong understanding of async programming (async/await, non-blocking I/O)
• Proven experience with PostgreSQL at scale
• Experience working with Azure services (AKS, Blob Storage, AI Search)
• Familiarity with Docker, Kubernetes, and microservices architecture
• Comfortable working across multiple projects and architectures
• Experience using AI coding tools (e.g., GitHub Copilot, Cursor, or similar)

Technical Stack

Backend

• Python 3.11+
• FastAPI
• Async/await concurrency

Data Layer

• PostgreSQL
• asyncpg
• SQLAlchemy 2.0
• Alembic

Cloud (Azure)

• Azure Kubernetes Service (AKS)
• Azure Blob Storage
• Azure AI Search
• Cosmos DB

Infrastructure

• Docker
• Kubernetes
• Helm

AI / ML

• LangChain
• OpenAI APIs
• Vector databases