Senior DevOps Trainer (
AI
for DevOps) — Freelance, Remote
Are you a DevOps engineer who loves teaching? Turn your experience into a course that engineers worldwide will learn from.
We’re hiring on behalf of a global hands-on tech-education platform used by over a million engineers to learn DevOps,
cloud
, Kubernetes and
AI
. Its courses are built around real labs, not slides, and taught by practising engineers.
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.
How it works
Start with one paid course project. You can do it alongside your current job, with no fixed weekly hours. A typical project takes around 3 months.
It’s built for the long term: the team is growing its trainer pool, and a good first project can lead to a full-time role or more courses.
Fixed, competitive fee per course, agreed upfront and based on course scope.
Fully remote and flexible. Expect a weekly sync and some time-zone overlap with a Europe/Asia-based team.
What you’ll do
Design the course outline and specify hands-on labs (a labs team builds them).
Write and narrate short, story-driven video lessons (~6 min each).
Record demos and lab walkthroughs.
Work with editors on feedback. Video production and publishing are handled for you.
What we’re looking for
Hands-on DevOps experience: Linux, containers, Kubernetes, a major
cloud
, CI/CD, IaC.
Real, current use of
AI
in your engineering work: agents, coding assistants, LLM automation.
A genuine passion for teaching, shown through courses, tutorials, talks, workshops or mentoring.
Excellent spoken and written English. All courses are delivered in English, so you need to be clear, natural and confident on camera.
Openness to an established teaching methodology and to feedback.
Nice to have:
published courses (Udemy, Pluralsight, YouTube), conference talks, DevRel or community roles (CNCF Ambassador, AWS Community Builder, MVP), Kubernetes or AWS/Azure certifications.
To apply,
click the link and fill in a short application form. We’ll ask for your CV and a link that shows how you teach (a course, talk, tutorial or short video), along with a few words about your teaching experience.