Associate, Cloud Engineer (Intern)
Hccz Open · verified Oct 24, 2026 Remote Sri Lanka Full-time Junior Cloud
At a glance
Junior Cloud role at Hccz. Remote, Sri Lanka · full-time.
Pay not stated Cloud salary
RoleCloud
SeniorityJunior
LocationSri Lanka
WorkplaceRemote
EmploymentFull-time
PostedOct 23, 2026 · 1d ago
Role brief
devopsroles summary, based on the employer's posting.
What you'll do
- Help build, roll out and look after AWS infrastructure, including services such as EC2, S3 and Lambda
- Support CI/CD pipeline development and upkeep with GitLab or a comparable tool
- Write Python scripts and help automate infrastructure setup and configuration through IaC
- Investigate cloud, deployment and pipeline problems, then document your technical work and findings
- Review data and produce insights aimed at improving assessment quality and user experience
What you bring
- You are pursuing or have recently finished a degree in AI, computer science, engineering, data science or a related area
- You can program in Python and understand the basics of generative AI and large language models
- You can troubleshoot cloud infrastructure, application releases and CI/CD pipeline issues
Who this fits
This junior internship suits someone building practical cloud engineering skills, especially in AWS, automation and DevOps. The role is remote from Sri Lanka.
From the employer
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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