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Pearson VUE

Cloud Engineer, Associate

Pearson VUE

. Assist in designing, deploying, and maintaining AWS cloud infrastructure .

Posted 9/15/2026internshipColombo • Sri LankaEntry LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AWS cloud infrastructure design, deployment, and maintenance, with strong programming skills in Python and experience in CI/CD pipeline development. Capable of analyzing data to enhance user experience and effectively communicating technical findings.

Highest-signal resume keywords
AWS Cloud InfrastructurePython ProgrammingCI/CD Pipeline DevelopmentInfrastructure as Code (IaC)Generative AI Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AWS EC2AWS ECSAWS S3AWS LambdaAWS IAMAWS CloudFormationAWS VPCGitLab CI/CDDockerNetworking Concepts
Soft Skills
Problem-SolvingAnalytical ThinkingCommunication Skills
Tools & Technologies
GitLabInfrastructure as Code (IaC)Automation Scripts
Industry Keywords
Education TechnologyAssessment SystemsData PipelinesAPIsBackend Development

Tech Stack

Tools & technologies
AWSCloudDNSDockerEC2Python

About the role

Key responsibilities & impact
  • Assist in designing, deploying, and maintaining AWS cloud infrastructure
  • Work with AWS services including 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

Requirements

What you’ll need
  • 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)
  • Ability to troubleshoot cloud infrastructure, application deployment, and pipeline issues
  • Good problem-solving and analytical thinking skills
  • Strong communication skills (written and verbal)
  • Hands-on experience with AWS preferred
  • Familiarity with GitLab CI/CD or other CI/CD tools preferred
  • Basic knowledge of Docker and container technologies preferred
  • Knowledge of networking concepts such as VPC, DNS, load balancers, and security groups preferred
  • Familiarity with APIs, backend development, or data pipelines preferred
  • Interest in education technology or assessment systems preferred

Benefits

Comp & perks
  • 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