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Devsinc

Backend Software Engineer - Python & Django

Devsinc · Lahore, Punjab, Pakistan

IT Services and IT Consulting · 1,001-5,000 employees

7 h ago
Mid (2-5 yrs) Full-time Pakistan
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About the role

Design, develop, and maintain high-performance backend applications and cloud-native services using Python and Django. Manage infrastructure on AWS, implement containerized deployments, and optimize database performance for scalable enterprise solutions.

What they look for

Python Django Django REST Framework AWS Docker CI/CD PostgreSQL Redis Microservices RESTful APIs Celery RabbitMQ Database Schema Design Cloud Computing Asynchronous Processing System Architecture

Requirements

Requires a Bachelor's degree in Computer Science or a related field and at least 2 years of professional experience in Python backend development. Candidates must demonstrate strong expertise in Django, RESTful API design, AWS cloud services, and containerization tools.

Full description

Devsinc is looking to hire a skilled Software Engineer - 1 to help deliver scalable, secure, and enterprise-grade software solutions. In this role, you will design, develop, deploy, and maintain high-performance backend applications and cloud-native services using modern Python technologies.

The ideal candidate has at least of 2 years of professional experience after graduation in Python backend development, with strong expertise in Django and Django REST Framework (DRF), along with hands-on experience in AWS, cloud deployments, containerization, and modern backend architectural principles.

Responsibilities

  • Design, develop, test, and maintain production-grade backend applications using Python and Django/Django REST Framework (DRF), FastAPI, or Flask.
  • Build secure, scalable, and high-performance RESTful APIs, microservices, and distributed backend services.
  • Contribute to backend system design, including service boundaries, database selection, caching, asynchronous processing, and API architecture.
  • Deploy and manage applications on AWS using services such as EC2, ECS/EKS, Lambda, S3, RDS, IAM, and CloudWatch.
  • Develop and maintain containerized applications and automated deployment pipelines using Docker and CI/CD tools.
  • Design and optimize relational and NoSQL databases, queries, caching strategies, and data-access layers.
  • Implement background processing and event-driven workflows using Celery, Redis, RabbitMQ, Kafka, or similar technologies.
  • Monitor application performance, troubleshoot production issues, and improve system availability, reliability, and scalability.
  • Write clean, testable, and maintainable code, participate in code reviews, and maintain technical documentation.
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • Minimum 2 years of post-graduation professional experience in Python backend development.
  • Strong proficiency in Python, with extensive hands-on experience in Django and Django REST Framework (DRF). Familiarity with FastAPI or Flask is an added advantage.
  • Proven experience developing, deploying, and maintaining production-grade backend applications and RESTful APIs.
  • Strong understanding of backend architecture, microservices, API design, software design patterns, scalability, and secure application development.
  • Strong experience with relational and NoSQL databases, including PostgreSQL, MySQL, Redis, and MongoDB, with expertise in database schema design, query optimization, caching strategies, and performance optimization.
  • Hands-on experience with AWS (EC2, S3, RDS, IAM, Lambda, or similar services), including cloud-based application deployments.
  • Experience with Docker, containerized deployments, and CI/CD pipelines using GitHub Actions, GitLab CI/CD, Jenkins, or similar tools.
  • Hands-on experience implementing asynchronous processing using Celery, RabbitMQ, or similar technologies, integrating third-party APIs and services, and developing secure authentication and authorization solutions using JWT, OAuth2, and Role-Based Access Control (RBAC).
  • Experience writing automated tests using PyTest, Unittest, or similar testing frameworks.
  • Strong analytical, debugging, problem-solving, and communication skills, with the ability to monitor, troubleshoot, and optimize production applications in cloud environments.