Python Developer - Backend & CI/CD Specialist

Position Overview

• Location Type: Remote
• Job Type: Full Time
• Salary: Not specified

This is a remote opportunity for a Python Developer & CI/CD Specialist. The role involves building powerful backend systems to support AI models and streamline deployments. The successful candidate will be responsible for designing scalable solutions, creating APIs, maintaining CI/CD pipelines using Jenkins, and deploying models with machine learning frameworks.

Requirements

• Strong Python Expertise: Proven experience in backend development, including API creation, database integration, and optimization.
• CI/CD Experience: Hands-on experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, CircleCI).
• AI/ML Frameworks: Knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and experience implementing machine learning models in production.
• Automation Principles: Solid understanding of automation principles and a track record of building robust, automated solutions.
• Collaboration Skills: Effective collaboration skills to work closely with product, data science, and other engineering teams.

Responsibilities

• Design, Develop, and Optimize Backend Systems: Create and optimize Python-based backend systems focusing on high performance, scalability, and security.
• Build and Maintain CI/CD Pipelines: Ensure seamless, automated deployment and integration for products using CI/CD tools.
• Leverage AI/ML Frameworks: Enhance automation processes by implementing machine learning models.
• Collaborate with Cross-Functional Teams: Architect and implement solutions to solve real-world problems and impact users.

Preferred Qualifications

• Cloud Platforms: Experience with cloud platforms such as AWS, Google Cloud, or Azure.
• Containerization Tools: Proficiency in containerization tools like Docker and Kubernetes.
• API Experience: Familiarity with RESTful and GraphQL APIs and best practices for scalable API design.
• DevOps Practices & IaC: Background in DevOps practices and infrastructure as code (IaC) tools such as Terraform or Ansible.
• Security Best Practices: Knowledge of security best practices for backend development, especially within automated CI/CD environments.
• Passion for AI: A demonstrated passion for AI-driven solutions.