Python Backend Developer

Working with a premier AI and financial technology client, you'll join a small, highly collaborative engineering team responsible for designing and building a cloud-native Portfolio Management System for a hedge fund from the ground up. This is a dedicated role supporting a single client, working directly with their engineering leads while collaborating with a broader engineering team through code reviews and shared development practices. This position is ideal for a hands-on engineer who enjoys startup environments, greenfield development, and solving complex backend engineering challenges involving APIs, real-time market data, and scalable cloud architectures. The Role Design, develop, and maintain backend services using Python and FastAPI. Build scalable REST APIs supporting cloud-native financial applications. Integrate with Bloomberg and other third-party market data providers for real-time data ingestion. Develop real-time backend services utilizing WebSockets and event-driven architectures. Design, develop, and optimize PostgreSQL databases and SQL data models; work with Snowflake. Deploy and support applications within Microsoft Azure and troubleshoot production issues. What You'll Need 5+ years of backend software development experience. Strong Python programming skills and experience developing REST APIs using FastAPI or similar frameworks. Hands-on Bloomberg API integration experience. Strong understanding of backend application architecture and distributed systems. Experience designing real-time applications and implementing API throttling, caching, and performance optimization. Cloud development experience utilizing Microsoft Azure, AWS, or Google Cloud Platform. What's On Offer Opportunity for greenfield development in an AI and FinTech environment. Collaborative team setting with direct client engagement. Exposure to complex challenges involving real-time market data and scalable cloud architectures. Contribution to the overall technical direction of a new platform. Apply via Haystack today!