
Cloud Engineer, Associate
Posted 7 hours ago

Posted 7 hours ago
This is a fully remote position, open to applicants in Sri Lanka.
• Support the design, implementation, and upkeep of AWS cloud infrastructure.
• Engage with AWS services such as EC2, ECS, S3, Lambda, IAM, CloudFormation, and VPC.
• Assist in the development and maintenance of CI/CD pipelines utilizing GitLab or similar platforms.
• Contribute to infrastructure automation and configuration management through Infrastructure as Code (IaC).
• Create automation scripts and tools using Python.
• Analyze data and produce insights to enhance assessment quality and user experience.
• Document technical processes and effectively communicate findings.
• Currently enrolled in or recently graduated from a degree program in AI, Computer Science, Engineering, Data Science, or a related discipline.
• Proficient programming skills in Python.
• Fundamental understanding of Generative AI and Large Language Models (LLMs).
• Capability to troubleshoot cloud infrastructure, application deployment, and pipeline-related issues.
• Strong problem-solving abilities and analytical thinking skills.
• Excellent communication skills, both written and verbal.
• Preferred hands-on experience with AWS.
• Familiarity with GitLab CI/CD or other CI/CD tools is advantageous.
• Basic knowledge of Docker and container technologies is preferred.
• Understanding of networking concepts such as VPC, DNS, load balancers, and security groups is preferred.
• Familiarity with APIs, backend development, or data pipelines is a plus.
• Interest in educational technology or assessment systems is preferred.
• Hands-on experience with AWS cloud infrastructure.
• Practical exposure to CI/CD and DevOps methodologies.
• Insight into Infrastructure as Code and cloud automation techniques.
• Experience in troubleshooting real-world cloud and application deployment challenges.
• Mentorship from seasoned Cloud, DevOps, and SRE professionals.
• Opportunity to engage in significant cloud engineering projects.
• Exposure to cutting-edge technologies, including containers, automation, and Generative AI.
• Experience in a collaborative, enterprise-scale engineering environment.
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