Senior Python Developer

Purview Services; Nagpur District; On-site; INR 700,000 - 1,000,000; Full time

Job summary

Purview Services in Nagpur seeks a Python backend developer with strong Django/Flask/FastAPI skills and a solid grasp of REST APIs, databases, and ORM usage. You will contribute to designing scalable microservices and collaborate with cloud and DevOps teams.

Strong testing, logging, and CI/CD experience will help deliver robust services and maintainable code across environments.

Qualifications

• Proficiency in Python with OOP concepts and async programming.
• Experience with Django/Flask/FastAPI and REST APIs.
• Knowledge of SQL and NoSQL databases and ORM usage.
• Hands-on with containerization and cloud services is preferred.
• Familiar with CI/CD and testing frameworks.

Skills

Python

OOP & Async

Django/Flask/FastAPI

REST APIs

Swagger/OpenAPI

SQL

NoSQL

ORM (Django ORM/SQLAlchemy)

Git

Virtual environments

Dependency management

CI/CD basics

Messaging (Kafka/RabbitMQ)

Testing (PyTest/Unittest)

Logging/Monitoring (ELK, Prometheus)

Tools

Docker

Kubernetes/OpenShift

AWS/Azure/GCP

Jenkins

GitHub Actions

Azure DevOps

Celery

Job description

Role & responsibilities

Technical Skills (Mandatory)

• Strong proficiency in Python:
  • OOP concepts, multithreading, async programming
• Frameworks:
  • Django / Flask / FastAPI
• API Development:
  • REST APIs, JSON, HTTP/HTTPS
  • Swagger / OpenAPI documentation
• Databases:
  • SQL (PostgreSQL, MySQL, Oracle)
  • NoSQL (MongoDB, Redis added advantage)
• ORM & Data Access:
  • Django ORM / SQLAlchemy
• Version Control & Build:
  • Git
  • Virtual environments, dependency management

Microservices, Cloud & DevOps (Preferred)

• Experience with Microservices architecture
• Containerization:
  • Docker
• Orchestration:
  • Kubernetes / OpenShift (added advantage)
• Cloud exposure:
  • AWS / Azure / GCP
• CI/CD tools:
  • Jenkins, GitHub Actions, Azure DevOps
• Messaging & async processing:
  • Kafka, RabbitMQ, Celery (good to have)

Testing, Quality & Observability

• Unit and integration testing:
  • PyTest, Unittest
• Logging & monitoring:
  • ELK, Splunk, Prometheus, Grafana
• Performance tuning and security best practices awareness