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10 Weeks ago

Python Full Stack Developer

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60000 - 80000 Indian Rupee - Monthly
Pune, Maharashtra, India
Information Technology
Full-Time
The Hub Ops

Overview

HubOps company optimizing logistics, supply chain, and operational efficiency using technology. We build automation solutions to streamline workflows, enhance tracking, and boost decision-making using data-driven insights.

Role Overview

We are looking for a Python Developer who will design, develop, and maintain scalable backend solutions for our HubOps platform. The ideal candidate will have a strong understanding of data processing, API development, automation, and cloud infrastructure.

Key Responsibilities

  • Develop, optimize, and maintain backend services using Python and frameworks like FastAPI, Flask, or Django.
  • Build and maintain RESTful APIs and integrate with third-party systems.
  • Work with databases (PostgreSQL, MySQL, MongoDB, or Redis) for efficient data storage and retrieval.
  • Implement data processing pipelines and workflow automation solutions.
  • Collaborate with cross-functional teams to improve logistics, supply chain, and HubOps functionalities.
  • Optimize application performance and troubleshoot issues in a production environment.
  • Implement security best practices and ensure data integrity.
  • Deploy and manage applications on AWS, GCP, or Azure (Docker, Kubernetes experience is a plus).

Skills & Qualifications

Proficiency in Python with at least 8 -10 years of development experience.
Experience with FastAPI, Flask, or Django.
Strong understanding of SQL & NoSQL databases.
Hands-on experience with data structures, algorithms, and API design.
Experience with message queues (RabbitMQ, Kafka, or Celery) is a plus.
Familiarity with CI/CD pipelines and DevOps practices.
Knowledge of microservices architecture and scalable application development.
Good understanding of cloud platforms (AWS, GCP, or Azure).

Job Type: Full-time

Pay: ₹60,000.00 - ₹80,000.00 per month

Benefits:

  • Paid time off
  • Work from home

Location Type:

  • Remote

Schedule:

  • Monday to Friday

Work Location: Remote

Expected Start Date: 07/04/2025

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