Senior backend engineer -python, devops & azure (id: 3164)

• Design and develop scalable, maintainable backend solutions using Python.
  
• Implement and manage DevOps practices for deployment, integration, and monitoring.
  
• Optimize and maintain relational databases using SQL and PL/SQL.
  
• Collaborate with cross-functional teams to align development efforts with business objectives.
  
• Apply Git for version control and collaborative workflows.
  
• Troubleshoot and resolve technical issues with strong analytical skills.
  
• Follow Agile methodologies to support iterative development and continuous delivery.
  
• Perform basic Linux system administration tasks when required.
  
• Contribute actively as a team player, embracing feedback and continuous learning.
  

• 8–10 years of experience in backend engineering, DevOps, and cloud technologies.
  
• Strong expertise in Python backend API development (FastAPI, Flask) and task queues (Celery).
  
• Experience with asynchronous Python networking libraries (httpx, aiohttp).
  
• Proficiency with relational databases and ORM tools (SQLAlchemy, sqlmodel, MySQL).
  
• Hands-on experience with DevOps tools such as Ansible, Docker, Kubernetes, and Linux server administration.
  
• Experience working with Microsoft Azure cloud services including:
  
• Azure DevOps (CI/CD pipelines)
  
• Azure Kubernetes Service (AKS)
  
• Azure Functions & App Services
  
• Azure Monitor & Log Analytics
  

• Build reliable, scalable backend APIs and services.
  
• Work with concurrent programming in Python.
  
• Manage and optimize network infrastructure and servers (ASGI/WSGI, Apache, Nginx).
  
• Implement and secure services with network security protocols such as mTLS, SSL, and OAuth 2.0.
  
• Adapt quickly to new challenges while supporting collaborative development.
  
• Use collaboration tools like JIRA, Confluence, and SharePoint effectively.
  

• Opportunity to work with cutting-edge technologies in backend development, DevOps, and cloud engineering.
  
• Exposure to enterprise-level Azure environments and large-scale deployments.
  
• A collaborative and Agile-driven work culture encouraging continuous learning and innovation.
  

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