Associate, Cloud Engineer (Intern) at Pearson
Job details
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About this role
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
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
Originally posted on Himalayas