Cloud Engineer

We are looking for enthusiastic and motivated Cloud Engineer Interns who are already trained in AWS, Azure, GCP, or OCI and are eager to build a career in Cloud Infrastructure, DevOps, and Modern IT Technologies. Candidates with additional knowledge in Linux, networking, scripting, or system administration will have a strong advantage. This internship offers an excellent opportunity to gain hands-on experience in cloud environments and grow into a Cloud Engineering career path. Key Roles & Responsibilities. Assist in provisioning, configuring, and managing cloud infrastructure environments. Support monitoring, maintenance, and troubleshooting of cloud-based systems. Assist in deployment, backup, and basic recovery activities in cloud environments. Support Linux/Windows server administration tasks and routine operational activities. Help in managing cloud resources such as virtual machines, storage, networking, and security components. Assist in infrastructure documentation and follow standard operating procedures. Work with senior Cloud Engineers and Architects on implementation and support tasks. Support automation and scripting tasks for operational efficiency. Participate in learning, testing, and maintaining best practices across cloud platforms. Required Skill Set. Trained in at least one cloud platform: AWS, Azure, GCP, or OCI (Mandatory). Basic understanding of cloud infrastructure and core cloud services. Understanding of Linux/Unix or Windows operating system administration. Basic understanding of networking concepts such as IP, DNS, routing, and firewalls. Familiarity with virtual machines, storage, and infrastructure concepts. Basic knowledge of scripting languages such as Shell, Python, or PowerShell is an advantage. Understanding of monitoring, backup, and security fundamentals is preferred. Willingness to learn DevOps and automation tools. Good communication, analytical, and problem-solving skills.

Experience required: Not specified. Education: B.Tech / B.E. in Any Specialization, M.Tech in Electronics/Telecommunication, Artificial Intelligence and Machine Learning, Computers, Electrical. Location: Remote. Employment type: Full Time, Permanent.