Volodymyr D.

Python Backend | FastAPI, Django, AI-assisted Delivery

Need a Python backend that stays correct under load — FastAPI or Django services, PostgreSQL, and integrations that do not fall over? That is the work I take. I am Volodymyr, a Python backend developer in Kyiv with 10+ years of commercial development, most of it Django. I started in PHP, shipped full-stack Python with Vue and React, then moved fully to backend. In recent years I design and ship Python microservices (FastAPI, Django REST Framework) for FinTech and multi-tenant B2B SaaS. What I take on - FastAPI and Django REST APIs in microservice architectures - Multi-tenant backends with PostgreSQL (including Row Level Security) - Async stacks: SQLAlchemy 2.0, Celery / Taskiq, Redis, Kafka, WebSockets / Socket IO with graceful drain - Third-party integrations with auth, rate limits, and real error handling - Clean Architecture delivery (CQRS, Unit of Work, dependency injection) - AI-augmented, specification-driven backend work when you want it documented before code Recent delivery - Join To IT (2026): FinTech and multi-tenant B2B SaaS — FastAPI, DRF, async SQLAlchemy 2.0, PostgreSQL RLS, Taskiq/Celery, WebSockets. Integrations: DocuSign, Salesforce, RingCentral, Azure. - Mint.ai (2019–2022, 2024–2026): FastAPI and Django REST services inside a large microservice platform — OpenAPI, service-to-service contracts, third-party APIs. How I work - A written plan for week one before we start - Docker / Kubernetes, AWS or Azure, tests, Trunk-Based Development - Written English, overlap with EU hours and US mornings If the job is a Python service that has to be multi-tenant, an API that other teams will hate if it is messy, or a Django/FastAPI codebase you need unblocked — send the brief. I will tell you what I would do first.