1. 5+ years building production Python systems — services under real traffic, not scripting or notebooks alone.
2. Deep familiarity with at least one web framework (FastAPI, Django, or Flask) and its request lifecycle.
3. Demonstrated experience with high-throughput, low-latency systems — you can talk concretely about the RPS you handled, where it broke, and what you did about it.
4. Async programming and concurrency in Python (asyncio, threading, multiprocessing) — and the judgement to know which applies.
5. Robust SQL skills with PostgreSQL or MySQL, including indexing, query tuning, and read/write scaling patterns.
6. Caching and messaging at scale — Redis, plus Kafka, RabbitMQ, or Pub/Sub.
7. Applied AI/ML experience — serving models in production, working with LLM APIs, or building RAG/embedding pipelines. Comfort with PyTorch, TensorFlow, scikit-learn, or Hugging Face as appropriate to the problem.
8. Testing discipline: pytest, mocking, fixtures, CI-integrated suites, and load testing (JMeter, k6, Gatling, or Locust).
9. Docker, Git, and CI/CD pipeline experience.

📌 Python Developer — High-Scale Backend & Applied AI/ML (Bengaluru)
🏢 Happiest Resume
📍 Bengaluru