Associate, Cloud Engineer (Intern)

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

Who we are:

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Engineering

Job Family: TECHNOLOGY

Organization: Higher Education

Schedule: FULL_TIME

Workplace Type: Hybrid

Req ID: 25829

Req Type: Student

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