Master Trainer – Cloud, DevOps & MLOps Program
Job Description:
Department: Academics / Training Delivery
Employment Type: Part-Time / Contract (Hourly Basis)
Location: Remote / Online Live Training
Reports To: Program Director / Head of Academics
Role Overview:
The Master Trainer – Cloud, DevOps & MLOps Program will be responsible for delivering high-quality live training sessions and ensuring effective learning outcomes for students enrolled in the program. The trainer will conduct instructor-led sessions, guide learners through hands-on labs, evaluate assignments, mentor students during project work, and support the successful completion of the program.
The trainer must have strong expertise in cloud computing, DevOps practices, container orchestration, CI/CD pipelines, infrastructure automation, and MLOps workflows, along with the ability to teach complex technical topics effectively.
Key Responsibilities
1. Training Delivery
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Deliver structured live sessions aligned with the program curriculum and delivery schedule.
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Conduct interactive and practical training sessions using real-world industry examples.
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Ensure a clear explanation of DevOps and cloud architecture concepts with demonstrations.
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Maintain high training quality and learner engagement during sessions.
2. Hands-On Labs & Project Mentorship
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Guide learners through hands-on exercises, labs, and technical implementations.
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Mentor students while working on 40+ projects and capstone project development.
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Provide step-by-step technical guidance during lab sessions.
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Assist students in troubleshooting technical issues during practice.
3. Assessments & Evaluation
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Conduct technical assessments, including quizzes, assignments, and project evaluations.
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Review student submissions and provide detailed feedback.
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Track and monitor student progress throughout the program.
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Identify learners who need additional support and provide mentoring.
4. Student Mentorship & Support
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Conduct doubt-clearing sessions when required.
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Provide career guidance related to DevOps, Cloud Engineering, and MLOps roles.
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Encourage best practices for real-world DevOps implementation.
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Support students in preparing for industry roles and certifications.
5. Curriculum Support & Improvement
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Collaborate with the academic team to improve training materials.
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Provide feedback on curriculum relevance based on industry trends.
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Recommend new tools, technologies, or improvements to training modules.
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Help update lab exercises and project content.
Core Technical Skills
1. Cloud Platforms
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Strong experience with Amazon Web Services
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Experience with multi-cloud environments such as Microsoft Azure or Google Cloud is preferred.
2. DevOps & Automation Tools
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Docker
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Kubernetes
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Jenkins
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Terraform
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Git
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CI/CD pipeline implementation
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Prometheus
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Grafana
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Linux administration
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Infrastructure as Code (IaC)
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Scripting using Python or Bash
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Automation frameworks
MLOps Knowledge (Preferred)
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ML pipeline deployment
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Model monitoring and lifecycle management
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Integration of ML workflows with DevOps pipelines
Qualifications & Experience
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5+ years of industry experience in DevOps, Cloud Engineering, or Platform Engineering.
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Hands-on experience implementing CI/CD pipelines and cloud infrastructure.
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Prior experience delivering technical training or mentoring professionals is preferred.
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Experience with real-world DevOps implementations in production environments.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field.
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AWS Solutions Architect
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AWS DevOps Engineer
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Certified Kubernetes Administrator (CKA)
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Certified Kubernetes Application Developer (CKAD)
Key Competencies
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Strong communication and presentation skills
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Ability to simplify complex technical concepts
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Hands-on teaching approach
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Problem-solving and troubleshooting ability
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Passion for teaching and mentoring learners
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Ability to manage multiple learners and projects simultaneously
