Senior Technical Trainer — AI / DevOps

Role Overview

Accountabilities

• Collaborate with the curriculum team to define course structure, learning objectives, lesson sequences, and practical lab exercises focused on AI for DevOps.
• Develop content demonstrating how engineers use AI agents, coding assistants, and LLM-based automation in real infrastructure environments.
• Write concise, story-driven video scripts, with individual lessons typically lasting around six minutes.
• Narrate and present lessons confidently in English for learners at different experience levels.
• Write detailed specifications for practical labs demonstrating real-world DevOps and AI workflows.
• Collaborate with the dedicated labs team responsible for building lab environments.
• Test completed labs, validate technical accuracy, and ensure exercises deliver intended learning outcomes.
• Record demonstrations and walkthroughs explaining how to complete lab exercises and solve practical challenges.
• Incorporate structured editorial feedback to align content with established teaching standards.
• Participate in regular team syncs and maintain communication through collaboration tools such as Slack.

Requirements

• Strong practical knowledge of Linux, containers, Kubernetes, at least one major cloud platform, CI/CD, and infrastructure as code.
• Experience building, operating, and maintaining infrastructure rather than relying solely on theoretical knowledge.
• Practical experience using AI tools in engineering work, including AI agents, coding assistants, and LLM-based automation.
• Demonstrated passion for teaching through courses, tutorials, talks, workshops, mentoring, or community knowledge sharing.
• Excellent written and spoken English with the ability to communicate clearly and confidently on camera.
• Strong storytelling skills and ability to break down complex technical concepts into simple, structured explanations.
• Willingness to follow an established teaching methodology and incorporate constructive editorial feedback.
• Ability to work independently, organize deliverables, and meet an agreed project schedule.
• Comfort working remotely with a distributed team, including weekly syncs and some time-zone overlap with Europe and Asia.

Additional Qualifications (Advantage)

• Previously published online courses on platforms such as Udemy or Pluralsight, or experience authoring a technical book.
• Experience speaking at conferences or meetups, maintaining a technical YouTube channel or blog, or contributing to technical communities.
• Community credentials or roles such as CNCF Ambassador, AWS Community Builder, or Microsoft MVP.
• Relevant Kubernetes certifications including CKA, CKAD, or CKS, or recognition such as Kubestronaut.
• Cloud certifications from providers such as AWS or Microsoft Azure.

Compensation

• Competitive fixed fee per course, agreed upfront based on course length and topic complexity, with higher compensation for advanced topics and exceptional instructors.
• Paid freelance project that can be completed alongside an existing job, with no fixed weekly-hour requirement.
• Typical initial project duration of approximately three months, with a mutually agreed delivery plan.

Benefits

• Potential to progress to a full-time role or take on additional course projects based on mutual fit.
• Fully remote working arrangements with flexible hours.
• Opportunity to collaborate with a global technical education team and reach a community of more than one million engineers.
• Dedicated production support for video editing, animation, lab infrastructure, and course publishing.

Application Notes

• This position is listed on behalf of a partner company that manages all applications and next steps.
• Jobgether uses an AI-powered matching process to shortlist candidates; final decisions are managed by the hiring company.