[Hiring] Senior Technical Trainer @OnHires

Role Description

We’re looking for a DevOps engineer who loves teaching to create and present a course on AI for DevOps: how engineers use AI agents and modern AI tooling in real infrastructure work.

This role suits you if you already teach as part of what you do:

• You’ve published courses on Udemy, Pluralsight or YouTube.
• You’ve written a book.
• You’ve worked in DevRel.
• You’ve run workshops.
• You regularly speak at meetups and conferences.

How it works:

• It starts with one paid course project.
• You can do it alongside your current job.
• There’s no fixed weekly-hour requirement, just a delivery plan you agree on together.
• A typical project takes around 3 months.
• The goal is long-term, leading to a full-time role or more course projects.
• A fixed fee per course is agreed upfront, based on course length and topic complexity.
• Fees are competitive, and advanced topics and exceptional instructors are paid accordingly.
• Payment is made on delivery of the completed course.
• Fully remote with flexible hours.
• Expect a weekly sync, Slack communication, and some time-zone overlap with a Europe/Asia-based team.

What you’ll do:

• Shape the course with the curriculum team: sections, lessons, and hands-on labs.
• Write lab specs that a dedicated labs team builds, then test them.
• Write and narrate short, story-driven video lessons (about 6 minutes each).
• Record demo and lab-solution walkthroughs.
• Work through structured editorial feedback, especially on your first section.

Video editing, animation, lab infrastructure and publishing are all handled by the production team. You focus on the teaching.

Qualifications

• Hands-on DevOps foundations: Linux, containers, Kubernetes, a major cloud, CI/CD, IaC.
• Real, current use of AI in your engineering work: AI agents, coding assistants, LLM-based automation.
• Excellent spoken and written English.
• A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring.
• The ability to explain complex topics simply, with empathy for beginners.
• Clear, engaging spoken English and confidence on camera.
• Openness to an established teaching methodology and to editorial feedback.

Requirements

• Published online courses or a book.
• Conference talks, a growing YouTube channel or blog, or community roles (CNCF Ambassador, AWS Community Builder, Microsoft MVP, etc.).
• Kubernetes (CKA/CKAD/CKS, Kubestronaut) or AWS/Azure certifications.

How to apply

Send your CV or LinkedIn profile, plus a link that shows how you teach: a course, a talk, a tutorial or a short video.