Cloud Engineer, Associate

Job not on LinkedIn

🔥 0 minutes ago

🇱🇰 Sri Lanka – Remote

⏰ Full Time

⚪️ Entry-level

☁️ Cloud Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Pearson VUE

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Pearson VUE is a global leader in computer-based testing, providing a wide range of credentialing and certification exams for various industries. They support test-takers and test owners by offering resources, scheduling options, and accommodations to ensure equitable access to testing. Their mission is to empower candidates and enrich communities through the delivery of high-stakes exams that validate professional skills and knowledge, contributing to career advancement and industry standards.

📋 Description

• Assist in designing, deploying, and maintaining AWS cloud infrastructure • Work with AWS services including EC2, ECS, S3, Lambda, IAM, CloudFormation, and VPC • Support 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

• 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

• 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