Python Developer with Azure

3 weeks ago

Hyderabad, India Ispace Full time

We are seeking a Python Developer with strong Azure expertise to design, develop, and deploy secure, scalable, and high-performance applications in the cloud. The role requires hands-on experience with Python frameworks and Azure cloud services, with a focus on building modern, cloud-native solutions.

Key Responsibilities:

  • Design, develop, and maintain Python applications hosted on Azure.
  • Build and deploy RESTful APIs, microservices, and event-driven applications using Python.

  • Work with Azure services such as:

  • Azure Functions, Azure App Services, Azure Kubernetes Service (AKS), Azure Service Bus, Event Hub, Azure Storage, Azure SQL/Cosmos DB.

  • Develop and optimize ETL pipelines and data integrations using Python, Azure Data Factory, and Databricks.

  • Implement and manage CI/CD pipelines with Azure DevOps/GitHub Actions.
  • Use containerization technologies (Docker, Kubernetes) for scalable deployments.
  • Ensure application security, monitoring, and performance optimization.
  • Collaborate with architects, data engineers, and business stakeholders to deliver end-to-end solutions.
  • Troubleshoot and resolve issues in development and production environments.

Required Skills & Qualifications:

  • Bachelors degree in Computer Science, Engineering, or related field.
  • 3–6 years of Python development experience.
  • Strong knowledge of Azure cloud services and architecture.
  • Experience with Python frameworks (Flask, FastAPI, Django).
  • Proficiency in APIs, microservices, and serverless computing.
  • Experience with Azure DevOps CI/CD, Git, and Agile methodologies.
  • Strong database skills – SQL & NoSQL (PostgreSQL, MySQL, Cosmos DB, MongoDB).
  • Hands-on experience with Docker/Kubernetes for deployment.
  • Strong problem-solving, debugging, and analytical skills.

Preferred Qualifications:

  • Microsoft Azure certifications (AZ-204: Developing Solutions for Microsoft Azure, AZ-400).
  • Experience with PySpark, Azure Databricks, ML/AI services.
  • Knowledge of Terraform/ARM/Bicep for Infrastructure as Code.
  • Familiarity with monitoring tools (App Insights, Log Analytics).

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