Location:
Pan India

Experience:
5–7 Years

About The Role
We are looking for an experienced
Python Backend Engineer
with robust expertise in
Python, REST APIs, and microservices architecture
. The role focuses on building scalable, secure, highly available, and production-grade backend systems using up-to-date frameworks and cloud technologies.

Job Description
The role involves designing and developing enterprise backend applications using
Python
and frameworks such as FastAPI, Django, or Flask. You will build REST APIs and microservices while ensuring application scalability, security, availability, and performance.

You will work with SQL and NoSQL databases, data modeling, query optimization, and backend performance tuning. The position also involves cloud platforms, containerization, CI/CD, event-driven systems, testing, code reviews, and DevOps practices.

Key Responsibilities
Design and develop backend applications using Python
Build scalable REST APIs and microservices
Develop enterprise applications using FastAPI, Django, or Flask




Work with SQL and NoSQL databases, including data modeling and query optimization
Design secure, highly available, and event-driven backend systems
Deploy and manage applications using AWS, Azure, or GCP, Docker, and Kubernetes
Support CI/CD pipelines and follow DevOps practices
Perform testing, code reviews, troubleshooting, and performance tuning

Required Skills
Python
REST API development
Microservices architecture
FastAPI, Django, or Flask
SQL and NoSQL databases
Data modeling and query optimization
Backend performance tuning
AWS, Azure, or GCP
Docker and Kubernetes
CI/CD pipelines
Event-driven backend systems
Software testing and code reviews
DevOps principles

Mandatory Skills
Python

Candidate Profile

The ideal candidate should have 5–7 years of experience in
Python backend development
, with solid expertise in REST APIs, microservices, databases, and backend performance optimizat

📌 Python Backend Engineer Pune Division (India)
🏢 Vivantify Technology Solutions India
📍 India