Senior Technical Trainer — AI / DevOps (Italia)

Senior Technical Trainer — AI / DevOps (Italia)

25 ott
|
Jobgether
|
Italia

25 ott

Jobgether

Italia

pbThis position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Technical Trainer — AI / DevOps based in Italy. /b /p pAs a Senior Technical Trainer, you will combine hands‑on DevOps expertise with a passion for teaching to develop practical, engaging courses on AI‑powered engineering workflows. You will help engineers understand how to apply AI agents, coding assistants, and modern AI tools to real‑world infrastructure and automation challenges. Working alongside a curriculum team and experienced technical educators, you will design lessons, develop hands‑on lab specifications, and record clear, compelling instructional videos. This remote freelance opportunity begins with a paid course project, typically lasting around three months, with the potential for ongoing projects or a full‑time position. You will have the flexibility to work alongside existing commitments while contributing your technical knowledge to a global engineering community. The ideal candidate is a practising DevOps engineer who can simplify complex concepts, communicate confidently on camera, and create learning experiences that make advanced technologies accessible. /p br/ h3Accountabilities /h3 ul li pbDesign and develop technical courses /b /p ul lipCollaborate with the curriculum team to define course structure, learning objectives, lesson sequences, and practical lab exercises focused on AI for DevOps. /p /li lipDevelop content that demonstrates how engineers use AI agents, coding assistants, and LLM‑based automation in real infrastructure environments. /p /li lipEnsure lessons are technically accurate, relevant, practical, and aligned with the needs of working engineers. /p /li /ul /li li pbCreate engaging instructional content /b /p ul lipWrite concise, story‑driven video scripts designed to explain technical concepts clearly, with individual lessons typically lasting around six minutes. /p /li lipUse AI tools where helpful during drafting while ensuring the final scripts reflect your own voice, expertise, and teaching style. /p /li lipNarrate and present lessons confidently in English, making complex technical topics approachable for learners at different experience levels. /p /li /ul /li li pbDevelop and validate hands‑on labs /b /p ul lipWrite detailed specifications for practical labs that demonstrate real‑world DevOps and AI workflows. /p /li lipCollaborate with the dedicated labs team responsible for building the lab environments. /p /li lipTest completed labs,



validate technical accuracy, and ensure exercises deliver the intended learning outcomes. /p /li lipRecord demonstrations and walkthroughs explaining how to complete lab exercises and solve practical challenges. /p /li /ul /li li pbCollaborate on quality and editorial development /b /p ul lipWork closely with curriculum and production teams throughout the course development process. /p /li lipIncorporate structured editorial feedback, particularly during the initial course section, to align content with established teaching standards. /p /li lipParticipate in regular team syncs and maintain communication through collaboration tools such as Slack. /p /li lipFocus on technical expertise, teaching, scripting, and recording while the production team manages video editing, animation, lab infrastructure, and publishing. /p /li /ul /li /ul h3Requirements: /h3 ul li pbHands‑on DevOps and infrastructure experience /b /p ul lipStrong practical knowledge of Linux, containers, Kubernetes, at least one major cloud platform, CI/CD, and infrastructure as code (IaC). /p /li lipExperience building, operating, and maintaining infrastructure rather than relying solely on theoretical knowledge. /p /li lipThe ability to demonstrate real engineering workflows and translate practical experience into effective learning materials. /p /li /ul /li li pbCurrent experience with AI technologies /b /p ul lipPractical experience using AI tools in engineering work, including AI agents, coding assistants, and LLM‑based automation. /p /li lipGenuine curiosity about emerging AI capabilities and a commitment to staying current with new tools and techniques. /p /li lipThe ability to explain how AI can support infrastructure engineering and DevOps workflows; deep specialization in AI research is not required. /p /li /ul /li li pbTeaching and communication skills /b /p ul lipA demonstrated passion for teaching, supported by experience creating courses, publishing tutorials, delivering talks or workshops, mentoring colleagues, or sharing technical knowledge with a community. /p /li lipExcellent written and spoken English, with the ability to communicate clearly, naturally, and confidently on camera.



/p /li lipStrong storytelling skills and the ability to break down complex technical concepts into simple, structured explanations. /p /li lipEmpathy for learners, particularly beginners, and an understanding of how to make technical material engaging and accessible. /p /li /ul /li li pbCollaboration and adaptability /b /p ul lipWillingness to follow an established teaching methodology and incorporate constructive editorial feedback. /p /li lipAbility to work independently, organize deliverables, and meet an agreed project schedule. /p /li lipComfort working remotely with a distributed team, including participation in weekly syncs and some time‑zone overlap with colleagues based in Europe and Asia. /p /li /ul /li li pbAdditional qualifications considered an advantage /b /p ul lipPreviously published online courses on platforms such as Udemy or Pluralsight, or experience authoring a technical book. /p /li lipExperience speaking at conferences or meetups, maintaining a technical YouTube channel or blog, or contributing to technical communities. /p /li lipCommunity credentials or roles such as CNCF Ambassador, AWS Community Builder, or Microsoft MVP. /p /li lipRelevant Kubernetes certifications, including CKA, CKAD, or CKS, or recognition such as Kubestronaut. /p /li lipCloud certifications from providers such as AWS or Microsoft Azure. /p /li /ul /li /ul h3Benefits: /h3 ul li pbCompetitive fixed fee per course /b, agreed upfront based on course length and topic complexity, with higher compensation for advanced topics and exceptional instructors. /p /li li pPaid freelance project that can be completed alongside an existing job, with no fixed weekly‑hour requirement. /p /li li pA typical initial project duration of approximately three months, with a mutually agreed delivery plan. /p /li li pPotential to progress to a full‑time role or take on additional course projects based on mutual fit. /p /li li pFully remote working arrangements with flexible hours. /p /li li pOpportunity to collaborate with a global technical education team and reach a community of more than one million engineers. /p /li li pDedicated production support for video editing, animation, lab infrastructure, and course publishing, allowing you to focus on teaching and technical content. /p /li li pOpportunity to share your expertise in AI, DevOps, cloud, and Kubernetes through practical, hands‑on education. /p /li /ul br/ pWe appreciate your interest and wish you the best! /p #J-18808-Ljbffr

📌 Senior Technical Trainer — AI / DevOps (Italia)
🏢 Jobgether
📍 Italia

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