Senior Python Developer

Purview Services

Greater Noida

On-site

INR 1,500,000 - 2,100,000

Full time

14 days+

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Job summary

Purview Services is seeking a Python-based backend engineer to design and develop scalable services using Django, Flask or FastAPI. You will implement RESTful APIs, integrate with SQL/NoSQL databases and participate in CI/CD and container orchestration using Docker and Kubernetes.

The role requires expertise in modern Python ecosystems, ORM usage, and cloud exposure across AWS/Azure/GCP, with strong focus on code quality, testing and observability.

Qualifications

  • Strong Python development experience using modern frameworks.
  • Experience building RESTful APIs and documenting them with OpenAPI/Swagger.
  • Hands-on with SQL/NoSQL databases and ORMs like Django ORM/SQLAlchemy.
  • Familiarity with CI/CD, containerization and observability tools.
  • Knowledge of testing (PyTest/Unittest) and security best practices.

Skills

Python
Django
Flask
FastAPI
REST APIs
SQL
NoSQL
Git
Testing
Async programming

Tools

Docker
Kubernetes
OpenShift
AWS
Azure
GCP
Jenkins
GitHub Actions

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
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