Design and build RESTful API endpoints using FastAPI with async patterns
Develop within a multi-tenant data model scoped by organization
Design and implement Celery task workflows across multiple queues (email, document processing, scheduled jobs)
Integrate with third-party APIs and extend a plugin architecture for vendor-specific logic
Author Pydantic models for request validation, response serialization, and database entities
Build and maintain CLI tooling for operational and administrative tasks
Write pytest test suites, including mocking of async database operations and external services
Navigate a modular codebase with clear separation between infrastructure and business domain layers

Requirements

Strong Python fundamentals: clean, typed, async code
API development experience with FastAPI or a comparable framework (Flask, Django REST)
Familiarity with NoSQL databases (Cosmos DB, MongoDB, DynamoDB, or similar)
Experience with background task processing (Celery or equivalent)
Comfort with Pydantic or comparable validation libraries
Proficiency with Docker and containerized development workflows
A disciplined approach to testing — tests are part of how you ship, not an afterthought
Git proficiency: branching, rebasing, clear commit messages, PR-based collaboration
Experience with Azure cloud services
Exposure to message queues and event-driven architecture (Service Bus, RabbitMQ, SQS)
Familiarity with plugin architecture design or contribution
Experience with OpenAI APIs or document processing / OCR pipelines
Background in multi-tenant SaaS development
Experience implementing OAuth 2.0 flows and third-party API integrations.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonFastAPICeleryPydanticpytestDockerNoSQL databasesOAuth 2.0API developmentasync programming

Soft Skills

disciplined approach to testingcollaborationclear communication