Cloud Computing Engineer (Trainer)

About Us Fireblaze AI School is a part of Fireblaze Technologies which was started in April 2018 with a Vision to Up-Skill and Train in emerging technologies. Mission Statement “To Provide Measurable & Transformational Value To Learners Career” Vision Statement ““To Be The Most Successful & Respected Job-Oriented Training Provider Globally.” We Focus widely on creating a huge digital impact. Hence Our Strong Presence over Digital Platforms are a must have thing for use. Below Are the links to all the social media channels. Website - http://fireblazeaischool.in LinkedIN - https://www.linkedin.com/company/fireblazeaischool/ Youtube - https://www.youtube.com/c/FireblazeAISchool Facebook - https://www.facebook.com/fireblazeaischool/ Instagram - https://www.instagram.com/fireblazeaischool/ Twitter - https://twitter.com/FireblazeAi Google Nagpur - https://g.page/fireblazeaischoolnagpur?share Google Pune - https://g.page/fireblazeaischoolpune?share Spotify Podcast - https://open.spotify.com/show/0VXm4ikfRG29UcwlMnaDNJ Job Description This is a remote position. Conduct training sessions on Cloud Computing concepts, architecture, and security . Teach AWS, Azure, and Google Cloud (GCP) , covering key services and best practices. Provide hands-on labs, real-time projects, and practical demonstrations . Train students in cloud automation, DevOps integration, and cost optimization . Guide learners on cloud certifications (AWS Certified Solutions Architect, Azure Fundamentals, GCP Associate, etc.). Assess student progress through assignments, quizzes, and live projects . Develop course materials, assignments, and case studies for interactive learning. Stay updated with the latest cloud trends, security updates, and industry demands . Provide guidance and career mentorship to students. Collaborate with the placement team to help students prepare for job interviews. Requirements Requirements Proven experience with GCP services: Cloud Functions, Cloud Run, Cloud Build, and Cloud Storage. Strong understanding of GCP networking, IAM policies, and security configurations. Strong in Python programming language and basic in Unix shell scripting. Familiarity with CI/CD principles and Bitbucket Cloud integration. Experience with Cloud Logging, Monitoring, and resource optimization.