Cloud tutoring SME

Job Opening: Cloud Computing & AWS Subject Matter Expert (SME)

Company:

Role Type:

Target Applicants:

About GradesBuddy

GradesBuddy is a leading academic and technical solutions platform that collaborates with experts across engineering, cloud computing, data engineering, management, and analytical domains.

We specialise in high-quality cloud architecture support, serverless workflows, data engineering pipelines, infrastructure automation, and academic project assistance for global learners.

Cloud Computing & AWS Division

Role Overview

The Cloud Computing SME will assist with AWS-based tutoring and project support involving serverless workflows, ETL pipelines, architecture design, containerization, and cloud automation. Candidates will work with real-world datasets, implement AWS services, and deliver clear explanations, clean code, and precise documentation.

Key Responsibilities

• Build and explain AWS data pipelines using S3, Glue, Lambda, Athena, and Step Functions
• Guide students through serverless workflows, cloud concepts, and architectural diagrams
• Develop and troubleshoot ETL jobs using

  PySpark

  and

  Glue Jobs

• Explain IAM policies, user roles, and secure cloud practices

• Work with ECS clusters, containers, and CloudFormation templates

• Implement and monitor services using CloudWatch logs, metrics, and alarms

• Provide clean Python/PySpark scripts for demonstrations

• Document workflows, diagrams, configurations, and results

• Deliver concise technical write-ups per assignment

Who Can Apply

Applications are invited from:

• M.Tech and PhD scholars

  in

  CSE, IT, Cloud Computing, Data Engineering, or related domains

• IIT/NIT CSE/IT students (3rd–4th year B.Tech/B.E.)

• Students specializing in cloud computing, distributed systems, or big data

• Fresh graduates with strong AWS foundations

• Professionals familiar with serverless, ETL, or cloud-native workflows

Required Skills

• Strong understanding of AWS cloud fundamentals
• Practical experience with:

• S3, IAM, Glue, Lambda, Step Functions, Athena

• CloudWatch, ECS, CloudFormation

• Proficiency in

  Python

  and

  PySpark

• Ability to design ETL pipelines and serverless functions

• Understanding of cloud monitoring, security, and optimization

• Strong academic writing and documentation skills

Preferred (Not Mandatory)

• AWS Certification (Developer / Solutions Architect / Data Engineer)
• Experience with Docker, REST APIs, or event-driven systems
• Exposure to distributed computing or real-time processing frameworks
• Familiarity with CI/CD tools and DevOps basics

Payout and Benefits

• Compensation is project-based, aligned with expertise
• Skilled experts can earn

  INR 50,000–70,000+ per month

  based on workload
• Flexible working hours (WFH)
• Opportunity to work on global academic cloud projects
• Strengthen your portfolio with high-end AWS and cloud engineering work

How to Apply

CV + sample AWS/cloud work (code, architecture diagrams, or project snippets)

• Please mention: Application – Cloud Computing SME