Cloud Trainer

Job Title: Cloud Trainer

Location: Noida

Experience Level: 5-8 Years

Job Summary

Cloud Trainer will drive cloud capability development across AWS and/or Google Cloud Platform (GCP). The role is responsible for analyzing skill gaps, designing learning pathways, developing technical content, delivering instructor-led and hands-on training, managing certification programs, and partnering with business leaders to build enterprise cloud capabilities.

Key Responsibilities

• Design, develop, and deliver cloud training programs, bootcamps, workshops, and certification-focused learning journeys.
• Build role-based learning pathways for cloud engineers, developers, architects, consultants, and delivery teams.
• Create technical learning assets including presentations, labs, assessments, trainer guides, and participant guides.
• Partner with business stakeholders, technology teams, and cloud partners to align learning initiatives with business objectives.
• Manage training operations, learning dashboards, reporting, learner engagement, and certification tracking.
• Conduct cloud skill-gap assessments and recommend targeted upskilling interventions.
• Support enterprise cloud transformation initiatives through capability-building programs.

Technical Skills Required

• AWS and/or Google Cloud Platform (GCP) architecture and services.
• Python (mandatory), with exposure to Java and/or Node.js.
• Serverless application development and cloud-native architectures.
• Docker and containerization fundamentals.
• CI/CD pipelines, DevOps practices, and Infrastructure as Code.
• Cloud security, governance, networking, monitoring, and logging.

AWS Expertise

• EC2, S3, VPC, IAM, Lambda, API Gateway, Step Functions.
• RDS, DynamoDB, SQS, SNS, EventBridge.
• CloudFormation, SAM, CodeBuild, CodePipeline.
• CloudWatch, ECR, SageMaker fundamentals.

GCP Expertise

• Compute Engine, Cloud Storage, VPC, IAM.
• Cloud Functions, Cloud Run, App Engine.
• Cloud SQL, BigQuery, Pub/Sub.
• Cloud Build, Cloud Deploy, Monitoring and Logging.
• Vertex AI fundamentals and AI/ML services.

AI & Cloud AI Skills

• Generative AI and LLM fundamentals.
• Prompt Engineering concepts.
• Cloud AI services including SageMaker and/or Vertex AI.
• Responsible AI principles.
• AI application deployment on cloud platforms.

Preferred Certifications

• AWS Certified Solutions Architect (Associate/Professional).
• AWS Certified Developer Associate.
• Google Associate Cloud Engineer.
• Google Professional Cloud Architect.
• Google Professional Cloud Developer.

Soft Skills

• Excellent communication, presentation, and facilitation skills.
• Strong stakeholder management and collaboration skills.
• Ability to conduct technical research and curriculum development.
• Results-oriented mindset with strong analytical and problem-solving abilities.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Cloud Computing, Data Engineering, AI, or related field.
• 5+ years of experience delivering cloud training programs.
• Hands-on experience with AWS and/or GCP development and cloud architecture.
• Experience managing enterprise-scale learning and certification initiatives is preferred.