AI-Augmented DevOps Engineer (Knowledge Transfer & Course Development)

Required skills

• Docker (or Docker Machine, Dockerfile, or Docker swarm)
• Python (or Ruby, 1. python , or JavaScript)
• AWS (or Heroku, Azure, or AWS Cloud Infrastructure)
• CI/CD (or GitLab, Bamboo, or Continuous Integration)
• LLM agents (or Agents, Rasa, or OpenAI)

Additional expectations

• Hourly rate: US$ 65-120
• Scope: around 10-20 hrs per week for 1-2 months
• Preferred timezone: No preference
• Preferred location: Worldwide

About Us
TechWorld with Nana is a fast-growing tech startup, known for high-quality DevOps and cloud engineering courses. We are building a new AI engineering course and need several experienced practitioners to help shape it.

The Role

We're building a course for DevOps engineers on how to use AI to automate and enhance their own DevOps workflows. We're looking for experienced DevOps engineers who are already using AI as part of their day-to-day work — not to ship AI products, but to make DevOps processes faster, smarter, and more automated.

What we're looking for:

• Hands-on DevOps engineers with real production experience
• Currently using AI tools in workflows like CI/CD, incident response, infrastructure management, monitoring, code review, or security
• Comfortable explaining what you built, why, and how it works to a non-engineer audience
• English fluency required

Examples of relevant use cases:

• AI-assisted CI/CD pipelines
• AI for incident detection and response
• AI-powered infrastructure automation
• LLM-based code review or PR summarization
• AI for log analysis and observability