Cloud Computing & DevOps Instructor

2 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

Company Description

At Edzor, we are dedicated to revolutionizing professional upskilling by offering industry-recognized certification programs in cutting-edge fields. Our network of exclusive training centers delivers high-quality, hands-on education, empowering students and professionals with the skills needed to succeed in today’s competitive job market. Through strategic partnerships with leading academic institutions and industry experts, we ensure our courses align with evolving industry demands. Our offerings encompass Data Science, Artificial Intelligence, Machine Learning, Robotics, Software Development, Cloud Computing, Digital Marketing, and more, providing learners with job-ready expertise.


Position Title: Cloud Computing & DevOps Instructor

Location: Remote

Type: Part-time (Full-time role shall be offered based on performance)

Experience: 2+ years (industry/academic)


Role Overview

We are seeking an experienced Cloud Computing & DevOps professional to join as a part-time instructor for our Advanced Certification in Cloud Computing and DevOps with Generative AI.

The ideal candidate will design, structure, and deliver an outcome-oriented, industry-ready curriculum aligned with modern cloud and DevOps practices integrated with AI tooling.

The instructor will play a key role in curriculum design, creating high-quality learning materials, leading live sessions, mentoring students, and ensuring hands-on mastery through project-based learning.


Key Responsibilities

1. Curriculum Design & Development

  • Design and structure the certification program focused on Cloud Computing, DevOps, and GenAI integration.
  • Collaborate with the Academic and Product teams to ensure the curriculum meets industry standards and certification requirements.
  • Develop comprehensive learning modules, hands-on labs, and capstone projects across:

AWS, Azure, and GCP Cloud Architectures

Containerization (Docker, Kubernetes, Helm)

Infrastructure as Code (Terraform, Ansible)

CI/CD Pipelines (Jenkins, GitHub Actions, GitLab CI)

Monitoring & Observability (Prometheus, Grafana, ELK)

Cloud Security, Automation, and Cost Optimization

Generative AI applications in DevOps (automation scripts, configuration generation, workflow optimization)


2. Course Delivery

  • Deliver live sessions for learners across India and international markets.
  • Explain theoretical concepts through practical, project-driven examples.
  • Guide students through hands-on assignments, labs, and capstone projects.
  • Conduct doubt-clearing sessions and live demonstrations of DevOps pipelines and cloud deployments.
  • Evaluate student performance and provide continuous feedback.


3. Content & Mentorship

  • Prepare learning materials, slides, assessments, and quizzes for each module.
  • Mentor learners on real-world use cases, resume building, and interview preparation for Cloud & DevOps roles.
  • Stay updated on emerging technologies — particularly the intersection of AI and DevOps workflows.


Preferred Skills & Experience

  • 2+ years of hands-on experience in Cloud & DevOps engineering roles.
  • Proven expertise in at least one major cloud platform (AWS / Azure / GCP).
  • Strong command of DevOps toolchains: Git, Jenkins, Docker, Kubernetes, Terraform, Ansible, Prometheus, Grafana.
  • Working knowledge of Python/Bash scripting for automation.
  • Familiarity with Generative AI and its applications in DevOps is a plus (e.g., using AI tools for CI/CD optimization or script generation).
  • Prior experience in training, mentoring, or technical instruction preferred.


Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Cloud certifications (AWS Solutions Architect, Azure Administrator, Google Professional Cloud Engineer, etc.) are highly desirable.
  • Strong communication skills and ability to simplify complex technical concepts.


Why Join Us

  • Shape the next generation of Cloud & DevOps engineers in India and globally.
  • Collaborate with a passionate team of AI and cloud educators.
  • Opportunity to design industry-first projects combining Cloud, DevOps, and AI.


Engagement Model

Mode: Remote

Workload: 10 hrs/week (part-time)

Compensation: Competitive hourly/session-based remuneration (based on expertise)

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