Cloud & DevOps Trainer/Tutor (Part-Time / Contract)
Generiss Academy
About the role
About Us
Generiss Academy is a fast-growing tech training provider focused on equipping learners with in-demand digital skills. We deliver practical, hands‑on training programmes designed to prepare students for real‑world careers in cloud computing, DevOps, and AI.
Role Overview
We are seeking an experienced and engaging Freelance Tutor to deliver a comprehensive training programme covering Cloud Computing, DevOps, and AI/ML. This role is ideal for a hands‑on industry professional who is passionate about teaching and can simplify complex concepts for beginners while guiding them through practical labs and real‑world projects.
Key Responsibilities
- Deliver live, instructor‑led training sessions (online)
- Teach both foundational and intermediate concepts across cloud, DevOps, and AI
- Guide students through hands‑on labs and practical exercises
- Support learners with questions, assignments, and troubleshooting
- Contribute to improving course materials and lab exercises
- Mentor students through a capstone project (Full DevOps Pipeline with AI Integration)
Modules You Will Teach
- Cloud Computing fundamentals (AWS, Azure, GCP)
- Cloud architecture, billing, networking, and security
- DevOps tools and practices (CI/CD, Jenkins, GitHub, Docker, Kubernetes)
- Infrastructure as Code (Terraform, Ansible)
- Linux fundamentals and scripting
- Programming fundamentals (Python)
- AI/ML on AWS (model training, deployment, MLOps)
- AIOps and AI integration in DevOps environments
Required Skills & Experience
- 3–7+ years of hands‑on experience in Cloud/DevOps/SRE roles
- Strong experience with AWS, Azure, and/or GCP
- Practical experience with:
- CI/CD pipelines (Jenkins, AWS CodePipeline)
- Containerisation (Docker) and orchestration (Kubernetes)
- Infrastructure as Code (Terraform)
- Configuration management (Ansible)
- Solid understanding of Linux, networking, IAM, and cloud security
- Experience with Python and automation scripting
- Exposure to AI/ML workflows and cloud‑based model deployment
Preferred Certifications
- AWS Certified Solutions Architect / DevOps Engineer
- Microsoft Azure Certifications
- Google Cloud Certifications
- Certified Kubernetes Administrator (CKA)
- HashiCorp Terraform Associate
Teaching & Soft Skills
- Prior teaching, training, or bootcamp delivery experience
- Ability to explain technical concepts in a clear, engaging way
- Strong communication and presentation skills
- Patient, supportive, and student‑focused approach
Contract Details
- Freelance / Contract role
- Flexible delivery schedule (aligned with course timetable)
- Per‑cohort rate (based on experience)
How to Apply
Please send:
- Your CV
- Links to certifications (if any)
- Any previous teaching/training experience or demo sessions (if available)
If you’re passionate about shaping the next generation of cloud and DevOps professionals, we’d love to hear from you.
Requirements
- Strong experience with AWS, Azure, and/or GCP
- Practical experience with CI/CD pipelines (Jenkins, AWS CodePipeline)
- Practical experience with containerisation (Docker) and orchestration (Kubernetes)
- Practical experience with Infrastructure as Code (Terraform)
- Practical experience with configuration management (Ansible)
- Solid understanding of Linux, networking, IAM, and cloud security
- Experience with Python and automation scripting
- Exposure to AI/ML workflows and cloud-based model deployment
- Prior teaching, training, or bootcamp delivery experience
- Ability to explain technical concepts in a clear, engaging way
- Strong communication and presentation skills
- Patient, supportive, and student-focused approach
Responsibilities
- Deliver live, instructor-led training sessions (online)
- Teach both foundational and intermediate concepts across cloud, DevOps, and AI
- Guide students through hands-on labs and practical exercises
- Support learners with questions, assignments, and troubleshooting
- Contribute to improving course materials and lab exercises
- Mentor students through a capstone project (Full DevOps Pipeline with AI Integration)
Skills
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