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GCP & Cloud Trainer

Datavalley Inc

2 - 5 years

Hyderabad

Posted: 22/02/2026

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Job Description

GCP & Cloud Trainer - Part-Time (Half Day)


Datavalley Technologies | Cyber Towers, Hyderabad | Part-Time | On-Site


Experience- 36 Years (hands-on GCP mandatory)

Monthly Pay- Best in industry

Working Hours- Half day - 4 hours per day, Monday to Saturday

Location- Cyber Towers, Hyderabad (On-Site)

Contract Duration- Minimum 6 months (with 30-day notice period)

Timing- Morning (9:30 AM 1:30 PM) or Afternoon (2 PM 6 PM) flexible


About the Role


Datavalley is looking for a GCP & Cloud Trainer who can come in for half a day, every day, and train our learners on Google Cloud Platform, basic AWS, Docker, and deployment. You will work alongside our full-time technical mentors - they teach the coding, you teach how to deploy and run it on the cloud.

This is a fixed monthly payment role - not per-class or per-hour. You get paid every month. Ideal if you are a working cloud engineer looking for a steady part-time income, or a freelancer who wants guaranteed monthly pay.


What You Will Do


  • Train students on GCP core services: Compute Engine, Cloud Storage, Cloud Functions, Cloud Run, BigQuery, IAM, VPC, Pub/Sub.
  • Cover GCP for AI/ML: Vertex AI, BigQuery ML, Cloud Build for ML pipelines - our AI batch needs this for their client projects.
  • Teach deployment on GCP: how to take code from a laptop and deploy it as a live application on the cloud.
  • Cover AWS basics: EC2, S3, Lambda, IAM, VPC - enough for students to understand multi-cloud and clear interviews.
  • Teach Docker: building images, running containers, docker-compose, pushing to container registries.
  • Cover CI/CD basics: GitHub Actions or Cloud Build - students must deploy through a pipeline, not manually.
  • Introduce Terraform basics: write simple infrastructure as code, plan, and apply.
  • Help students during their project phase: when they need to deploy their Full Stack app or ML model to GCP, you guide them.
  • Conduct hands-on labs - not slides. Students should be working on GCP console and CLI every session.


Must Have


  • 36 years of hands-on experience working with GCP in a real job (not just certifications or courses).
  • Must be currently using GCP at work or in freelance projects - we need someone whose knowledge is current, not from 2 years ago.
  • Comfortable with: Compute Engine, Cloud Storage, Cloud Functions, IAM, VPC, BigQuery.
  • Docker: must use regularly - building images, running containers, basic debugging.
  • Basic AWS knowledge: EC2, S3, Lambda, IAM - enough to teach the fundamentals.
  • CI/CD: must have set up at least one pipeline (GitHub Actions, Cloud Build, Jenkins - any one).
  • Linux comfortable: basic shell commands, SSH, file management, process troubleshooting.
  • GCP Associate Cloud Engineer or Professional Cloud Architect certification (or willing to get certified within 3 months).
  • Can explain concepts clearly in English - you are teaching freshers with zero cloud experience.
  • Based in Hyderabad and able to come to Cyber Towers office daily for 4 hours.


Good to Have


  • Terraform hands-on experience.
  • Kubernetes / GKE basics.
  • Azure awareness (VMs, App Services, AKS).
  • Monitoring tools: Cloud Monitoring, Prometheus, Grafana.
  • Networking depth: load balancers, DNS, firewalls, SSL.
  • Prior training or mentoring experience.
  • Multiple cloud certifications (GCP + AWS).


What You Get


  • Only 4 hours a day - morning or afternoon slot, your choice. Rest of the day is yours.
  • 6-month minimum engagement - this is not a one-time gig, it is steady income you can count on.
  • Work from Cyber Towers - professional office environment.
  • Build your profile as a cloud trainer and mentor alongside your main career.


Important Terms


  • Minimum commitment: 6 months. We invest in you and we expect you to stay for the full engagement.
  • Notice period: 30 days from either side. You cannot leave mid-batch without completing the current module.
  • Schedule: Monday to Saturday, 4 hours per day (timing decided together based on your availability).


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