Backend Python Developer + Azure Cloud Native

Python Backend Developer

Looking for Immediate to 15 days joiners only

Role & responsibilities

• Strong programming expertise in

  Python

  (FastAPI, Flask, Django). (async programming, OOP, API frameworks)
• Hands-on experience with

  Azure Cloud

  (Functions, App Service, API Management, Event-driven architectures).
• Experience building and consuming

  REST APIs

  , microservices, event-driven workflows.
• Good knowledge of

  Docker

  , containerization, and optionally Kubernetes (AKS).
• Integration experience with

  Azure AI

  or other AI/ML services:
• LLM-based solutions
• Prompt engineering
• Deploying ML models as API
• Experience with relational and NoSQL databases (Azure SQL, Cosmos DB, PostgreSQL).
• Strong understanding of CI/CD pipelines and version control (Azure DevOps or GitHub)

Preferred candidate profile

• Basic understanding of ML workflows (model training, inference, monitoring).
• Experience integrating AI services for:
• NLP (semantic search, summarization, entity extraction)
• Chatbots / LLMs / vector embeddings
• Document intelligence
• Familiarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn (optional).

Roles & Responsibilities

• Design, build, and maintain backend services and RESTful APIs using

  Python

  (FastAPI, Flask, Django).
• Develop microservices and serverless components hosted on

  Azure

  services such as:
• Azure Functions
• Azure App Service
• Azure Kubernetes Service (AKS)
• Azure API Management
• Azure Logic Apps / Event Grid / Service Bus
• Integrate with

  Azure AI services

  , including:
• Azure OpenAI
• Azure Cognitive Services (Vision, Speech, Text Analytics)
• Azure Machine Learning endpoints
• Work with

  Azure SQL, Cosmos DB, Blob Storage

  , and other cloud-native databases.
• Implement CI/CD pipelines using

  Azure DevOps / GitHub Actions

  .
• Ensure best practices for

  security, performance, logging, and monitoring

  using Azure Monitor, App Insights, and Log Analytics.
• Collaborate with frontend, data, and ML teams to deploy end-to-end intelligent features.
• Write clean, testable, maintainable code with unit and integration tests (PyTest).
• Optimize application performance, reliability, and scalability