Python Developer

Python Full Stack:

Overall exp- 8 to 15 years

Medical Domain Preferred

Mandatory Skills- Python (Fast API), Angular

Work location- Hyderabad - (Need only Hyderabad resources)

Mode of Interview- F2F (Hyderabad Office)

Contract Employment for 1 year (Extendable)

Details JD-

Technical Requirements

Mandatory Skills

· Solid Python development experience, ideally with Python 3.10 in backend services or API-oriented applications.

· Hands-on experience with FastAPI and Uvicorn, including route design, validation, dependency injection patterns, async behavior and operational logging.

· Experience creating or maintaining BFF layers that adapt backend/domain services for front-end workflows.

· Good understanding of REST APIs, data validation, error handling, service-to-service calls and backend integration testing.

· Familiarity with microservice architecture and the trade-offs around splitting, combining or simplifying services.

· Ability to debug product issues across backend code, API responses, logs, databases, front-end symptoms and deployment state.

· Strong autonomy and ownership, with enough communication discipline to keep product, QA and other developers aligned.

· A practical testing mindset: unit tests, API tests, integration tests, mocks/fixtures and regression checks for realistic product scenarios.

Preferred skills

· Angular v17 experience is a major plus, especially for integrating BFF routes with user workflows and helping front-end debugging.

· Experience with Kubernetes basics: pods, services, logs, readiness/liveness probes, config maps, secrets and deployment troubleshooting.

· Experience with Docker and CI/CD pipelines, especially for Python services, release builds, SBOM generation and automated test execution.

· Experience helping a team develop a product after initial delivery, including triage, reproduction, root-cause analysis and close collaboration with QA.

· Knowledge of authentication/session handling, token refresh and multi-user edge cases.

· Familiarity with scientific, device-driven or laboratory workflows where state transitions and data consistency are important.