AI Cloud Developer

Position Overview

We are looking for a skilled AI Cloud Developer to join our team and support the design, development, and deployment of intelligent cloud-based applications. The ideal candidate has strong backend development skills in Python and Django, hands-on experience with modern cloud-native technologies, and an interest in integrating AI solutions into production systems.

This role focuses on building scalable, secure, and automated solutions that combine backend engineering, workflow orchestration, containerization, and cloud infrastructure.

Roles and Responsibilities

• Design, develop, and maintain backend applications using Python and Django.

• Build and optimize RESTful APIs using Django Rest Framework (DRF).

• Integrate AI/ML components and services into cloud-based applications.

• Develop and manage workflow automation solutions using Apache Airflow.

• Deploy and maintain containerized applications using Docker and Kubernetes.

• Support cloud-native application architecture and scalability.

• Improve CI/CD and deployment processes.

• Monitor, troubleshoot, and optimize application performance in cloud environments.

• Collaborate with DevOps, infrastructure, and data teams.

• Create and maintain technical documentation.

Required Skills and Experience

• Strong programming skills in Python.

• Hands-on experience with Django.

• Experience with Django Rest Framework (DRF).

• Practical experience with Apache Airflow.

• Hands-on experience with Docker.

• Experience working with Kubernetes.

• Proficiency with Git version control.

• Solid understanding of Linux systems.

• Knowledge of cloud environments (AWS, Azure, GCP, or private cloud).

• Strong analytical and problem-solving skills.

• Ability to work independently and in a technical team.

Nice to Have

• Experience with AI/ML integration in production systems.

• Familiarity with MLOps practices.

• Experience with Infrastructure-as-Code tools (e.g., Terraform, Ansible).

• Knowledge of CI/CD pipelines.

• Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK).

• Understanding of scalable cloud-native architecture patterns.