Technical Lead Backend Python Fast API Azure

Technical Lead Backend (Python / FastAPI / Azure)
Experience: 8 to 12+ Years
Location: Bangalore / Hyderabad / Pune (as per business requirement)

Job Summary

We are seeking an experienced Technical Lead – Backend with strong expertise in Python, FastAPI, and Microsoft Azure to lead the design and development of scalable, cloud-native backend applications. The ideal candidate will drive technical architecture, mentor engineering teams, establish development best practices, and collaborate with product, DevOps, and business stakeholders to deliver high-quality solutions.

Key Responsibilities

• Lead backend application design, architecture, and development using Python and FastAPI.
• Design and develop scalable RESTful APIs and microservices.
• Build cloud-native solutions leveraging Microsoft Azure services.
• Define technical standards, coding practices, and architecture guidelines.
• Perform code reviews and provide technical mentorship to development teams.
• Collaborate with Product Owners, Business Analysts, UI teams, and DevOps engineers.
• Optimize application performance, scalability, security, and reliability.
• Implement CI/CD pipelines and DevOps best practices.
• Ensure application monitoring, logging, and observability.
• Participate in technical estimation, sprint planning, and project delivery.
• Resolve production issues and provide technical leadership during critical incidents.
• Drive modernization and cloud migration initiatives.

Required Technical Skills

Backend Development

• Strong Python programming experience
• FastAPI framework
• REST API development
• Microservices architecture
• Asynchronous programming
• API security (OAuth2, JWT)

Azure Cloud

• Azure App Services
• Azure Functions
• Azure Kubernetes Service (AKS)
• Azure Storage Accounts
• Azure Service Bus
• Azure API Management
• Azure Monitor & Application Insights
• Azure Key Vault
• Azure Entra ID / Azure AD

Database Technologies

• SQL Server
• PostgreSQL
• Cosmos DB
• MongoDB
• Database performance tuning

DevOps & Automation

• Azure DevOps
• CI/CD Pipelines
• Docker
• Kubernetes
• Git/GitHub
• Terraform or Infrastructure as Code