About the Role

We are looking for a motivated and curious Cloud Engineer Intern to join our team. This role is ideal for someone interested in cloud computing, AWS, automation, DevOps, and modern cloud-native technologies.

Key Responsibilities

• Assist in designing, deploying, and maintaining AWS cloud infrastructure
• Work with AWS services such as EC2, ECS, S3, Lambda, IAM, CloudFormation, and VPC
• Support the development and maintenance of CI/CD pipelines using GitLab or similar tools
• Assist with infrastructure automation and configuration management using Infrastructure as Code (IaC)
• Develop automation scripts and tools using Python
• Analyze data and generate insights to improve assessment quality and user experience
• Document technical work and communicate findings effectively

Required Skills & Qualifications

• Currently pursuing or recently completed a degree in AI, Computer Science, Engineering, Data Science, or related field
• Strong programming skills in Python
• Basic understanding of Generative AI and Large Language Models (LLMs)
• Troubleshoot cloud infrastructure, application deployment, and pipeline issues
• Good problem-solving and analytical thinking skills
• Strong communication skills (written and verbal)

Preferred Qualifications

• Hands-on experience with AWS
• Familiarity with GitLab CI/CD or other CI/CD tools
• Basic knowledge of Docker and container technologies
• Knowledge of networking concepts such as VPC, DNS, load balancers, and security groups
• Familiarity with APIs, backend development, or data pipelines
• Interest in education technology or assessment systems

What You’ll Gain

• Hands-on experience working with AWS cloud infrastructure
• Practical experience with CI/CD and DevOps practices
• Exposure to Infrastructure as Code and cloud automation
• Experience troubleshooting real-world cloud and application deployment issues
• Mentorship from experienced Cloud, DevOps, and SRE engineers
• Opportunity to work on impactful cloud engineering projects
• Exposure to modern technologies including containers, automation, and Generative AI
• Experience working in a collaborative, enterprise-scale engineering environment