Build and operate the Python/Django systems that turn inconsistent, changing foodservice information into dependable platform inputs - with deliberate validation, failure recovery, reprocessing and traceability.

This is a senior hands-on backend role, not a generic Django CRUD role and not a warehouse-only Data Engineer role.

The defining capability is production information processing: multi-step workflows that must remain correct and recoverable when data is incomplete, processing fails or the same work is delivered more than once.

Roles & Responsibilities
Build and improve production Django applications, services and operational backend capabilities.
Design multi-step ingestion and processing from source through validation, transformation or enrichment to persistence or downstream handoff.
Make failure behaviour explicit, including invalid data, retries, duplicate processing, partial failure and safe reprocessing.
Work with asynchronous and scheduled processing and make key workflow state observable.
Acquire and process information from APIs, files, catalogues,



documents, websites and other approved sources where required.
Diagnose production failures using logs, metrics, database/runtime evidence and controlled reproduction.
Improve tests, technical documentation and operational guidance for long-term maintainability.

Preferred Candidate Profile
Strong production Python backend engineering with current hands-on ownership.
Robust production Django experience beyond simple CRUD/API familiarity.
A substantial production data or information-processing workflow that you personally built, operated or materially improved.
Practical reasoning about reliability and correctness: validation, retries, duplicate processing, partial failure, idempotency, replay/reprocessing and monitoring.
Solid relational database engineering and production debugging capability.
Clear written technical communication and responsibility beyond initial imple

📌 Senior Python Backend Engineer Hyderabad
🏢 Menucoster
📍 Hyderabad