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
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