Python Engineer

Firma apreel powstała w kwietniu 2010 roku. W miarę rozwoju firmy i równolegle ze wzrostem poziomu zaufania klientów, jej działalność poszerzyła się o usługi Outsourcingu Specjalistów IT. Dziś to właśnie ten obszar stanowi główny filar działalności apreel.

• 5+ years Python in production
• Production FastAPI experience including async routes, dependency injection, middleware, streaming responses, OpenAPI generation
• Experience with Celery and Redis broker for task queues, retry semantics, queue routing, scheduled jobs
• Deep knowledge of Async Python, asyncio, and structured concurrency
• MongoDB production experience (PyMongo or Motor)
• Postgres production experience including schema design, indexing, transactions, and query tuning
• Redis experience as both cache and broker
• Fluency with Pydantic v2, type-hinted code, and comfort with mypy or pyright
• Experience with pytest including pytest-asyncio
• Production debugging skills including logs, traces, profiling, and identifying memory leaks
• Working English

First 90 days:

• Onboard onto the FastAPI chat-api and Celery flows alongside the AI Tech Lead
• Audit the FastAPI surface: routes, dependencies, middleware, streaming, error handling
• Audit the Celery topology: queues, workers, retry policy, scheduled jobs, dead-letter handling
• Profile and document the multi-datastore patterns (Mongo + Redis + Postgres) and any race-condition risks
• Help build evaluation and regression test infrastructure

Ongoing:

• Own the FastAPI service health (response time, error rates, streaming reliability)
• Own the Celery operational layer (queue lag, worker health, dead-letters)
• Implement new endpoints and async flows alongside agent changes from the AI Tech Lead
• Participate in on-call rotation for the AI core
• Pair with mid-level Python engineers as the squad grows